Huggy

Huggy.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d7a6044205b0cfbd62e21e8c338346858c5ba1dfdf0ae7edbc5c007042a5d02
+size 2273984

Huggy/Huggy-1199860.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cae12185f9a1359b33c00f061fddd2ddaae45ceed40b646f3d32253ff55b8eb
+size 2273984

Huggy/Huggy-1199860.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5b6600eca69cdd99987d9475d840de7d83de91fea630d6e0457f621b61da73d
+size 13509473

Huggy/Huggy-1399860.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8666a3ac0427df983e10d5dd3ddafbde55a9ddafb28aecc6da515b6f1a82e46
+size 2273984

Huggy/Huggy-1399860.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06a5a200ee1cf7fdf5b494dcf3d0aa80ec4d96303f62ad63731bdf25f839fdf0
+size 13509473

Huggy/Huggy-1599943.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:160d6ea6aa50c8fa8c9bbffc7d7c2a223778501928f200f924dcb5fdd8d821bc
+size 2273984

Huggy/Huggy-1599943.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:772a0df1e04c1890e7516d0bb4c75518f1cdfa33fa10d04d349db0959ee13c62
+size 13509473

Huggy/Huggy-1799985.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a7d57500c567de700b19e77ca80ee23f06084162cbeacf291e9ddb2dd8f8b17
+size 2273984

Huggy/Huggy-1799985.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d81947f1208d1be491ad1d82cf105ce3f7e4e5a7e5683771dc1b14d8a1729cd7
+size 13509473

Huggy/Huggy-199623.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:62fe0c554ca8ac8fe058a487bab84639b8457223ff6345fb20c5cbaf7f4c33ac
+size 2273984

Huggy/Huggy-199623.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f879dba6ff48711dfbbe3d24e065028aa400dac278deb149d5cbdd368f622fa1
+size 13509388

Huggy/Huggy-1999956.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b648503200748099b1bce5f62314f9e50fe095eca9f46d104f8bfacffc58c79
+size 2273984

Huggy/Huggy-1999956.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b44667058735e58c4414ad06f6acea3d0ccebfd9b6bb50cff65c94936475fc4
+size 13509473

Huggy/Huggy-2000706.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d7a6044205b0cfbd62e21e8c338346858c5ba1dfdf0ae7edbc5c007042a5d02
+size 2273984

Huggy/Huggy-2000706.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e0ca837f1c9ff3adef107fb4e69d11b91f286f8e3c18d5ea51925d434bbbafb
+size 13509473

Huggy/Huggy-399950.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6830a86d19222d98184b589ce1164418b822467be4ce2e5fd711a40112224dfd
+size 2273984

Huggy/Huggy-399950.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9afe776481ea78f01d7cb2827950704fe05a28342a80e7b832d5bc8d0f489c7
+size 13509388

Huggy/Huggy-599294.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:177fa833d324d0a8e4b6fe7a87e5b5df306a70c41e06352d59ffebb6fa3a1870
+size 2273984

Huggy/Huggy-599294.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4754b3ce576eb6a46a5c5a0417cc959597b78acb333bf9d38a73af2ced660ea2
+size 13509388

Huggy/Huggy-799914.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:663d39279fa62ba7b0ccc4fdc96c0923d21072acbbac85e14df2bc45ef474741
+size 2273984

Huggy/Huggy-799914.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:581f13d2fd16cec7fcf538569facb19e6666ca8106eb61f2b023ecd32fcdeade
+size 13509388

Huggy/Huggy-999937.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f422295aa9f327629750ed0b807ca265bebe2d9b6098c50e84dd2b0c8ee105c1
+size 2273984

Huggy/Huggy-999937.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9057992836af6d7118f0ba9446497f52dba746183f0c5187eae5e7f201db32a6
+size 13509388

Huggy/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a5aa5e64eb0a0be42e5decbd4cc1b6e2e803eb883bc0f2d6c9ae7be26b8e024
+size 13509218

Huggy/events.out.tfevents.1712404995.3dcacb58acea.1367.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a34ce0ff115991b6fa069c99fad50b30c179cae5d677df0345f2e9c0b583158
+size 426817

README.md

@@ -1,37 +1,35 @@
 ---
-library_name: stable-baselines3
+library_name: ml-agents
 tags:
-- LunarLander-v2
+- Huggy
 - deep-reinforcement-learning
 - reinforcement-learning
-- stable-baselines3
-model-index:
-- name: PPO
-  results:
-  - task:
-      type: reinforcement-learning
-      name: reinforcement-learning
-    dataset:
-      name: LunarLander-v2
-      type: LunarLander-v2
-    metrics:
-    - type: mean_reward
-      value: 271.58 +/- 16.50
-      name: mean_reward
-      verified: false
+- ML-Agents-Huggy
 ---
 
-# **PPO** Agent playing **LunarLander-v2**
-This is a trained model of a **PPO** agent playing **LunarLander-v2**
-using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+  # **ppo** Agent playing **Huggy**
+  This is a trained model of a **ppo** agent playing **Huggy**
+  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
 
-## Usage (with Stable-baselines3)
-TODO: Add your code
+  ## Usage (with ML-Agents)
+  The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
 
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+  - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
+  browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
+  - A *longer tutorial* to understand how works ML-Agents:
+  https://huggingface.co/learn/deep-rl-course/unit5/introduction
 
-```python
-from stable_baselines3 import ...
-from huggingface_sb3 import load_from_hub
+  ### Resume the training
+  ```bash
+  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
+  ```
 
-...
-```
+  ### Watch your Agent play
+  You can watch your agent **playing directly in your browser**
+
+  1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
+  2. Step 1: Find your model_id: hipa678/test-model
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

config.json

@@ -1 +1 @@
-{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n    Policy class for actor-critic algorithms (has both policy and value prediction).\n    Used by A2C, PPO and the likes.\n\n    :param observation_space: Observation space\n    :param action_space: Action space\n    :param lr_schedule: Learning rate schedule (could be constant)\n    :param net_arch: The specification of the policy and value networks.\n    :param activation_fn: Activation function\n    :param ortho_init: Whether to use or not orthogonal initialization\n    :param use_sde: Whether to use State Dependent Exploration or not\n    :param log_std_init: Initial value for the log standard deviation\n    :param full_std: Whether to use (n_features x n_actions) parameters\n        for the std instead of only (n_features,) when using gSDE\n    :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n        a positive standard deviation (cf paper). It allows to keep variance\n        above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n    :param squash_output: Whether to squash the output using a tanh function,\n        this allows to ensure boundaries when using gSDE.\n    :param features_extractor_class: Features extractor to use.\n    :param features_extractor_kwargs: Keyword arguments\n        to pass to the features extractor.\n    :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n    :param normalize_images: Whether to normalize images or not,\n         dividing by 255.0 (True by default)\n    :param optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function ActorCriticPolicy.__init__ at 0x78fae54a9240>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x78fae54a92d0>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x78fae54a9360>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x78fae54a93f0>", "_build": "<function ActorCriticPolicy._build at 0x78fae54a9480>", "forward": "<function ActorCriticPolicy.forward at 0x78fae54a9510>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x78fae54a95a0>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x78fae54a9630>", "_predict": "<function ActorCriticPolicy._predict at 0x78fae54a96c0>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x78fae54a9750>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x78fae54a97e0>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x78fae54a9870>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x78fae5dc61c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1015808, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1712402520180384036, "learning_rate": 0.0003, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": null, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.015808000000000044, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 248, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True  True  True  True  True]", "bounded_above": "[ True  True  True  True  True  True  True  True]", "_shape": [8], "low": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "low_repr": "[-90.        -90.         -5.         -5.         -3.1415927  -5.\n  -0.         -0.       ]", "high_repr": "[90.        90.         5.         5.         3.1415927  5.\n  1.         1.       ]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWV2wAAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIBAAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCmMBWR0eXBllGgOjApfbnBfcmFuZG9tlE51Yi4=", "n": "4", "start": "0", "_shape": [], "dtype": "int64", "_np_random": null}, "n_envs": 16, "n_steps": 1024, "gamma": 0.999, "gae_lambda": 0.98, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "batch_size": 64, "n_epochs": 4, "clip_range": {":type:": "<class 'function'>", ":serialized:": "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"}, "clip_range_vf": null, "normalize_advantage": true, "target_kl": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz8zqSowVTJhhZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "system_info": {"OS": "Linux-6.1.58+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.2.1+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}
+{"default_settings": null, "behaviors": {"Huggy": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 200000, "network_settings": {"normalize": true, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.995, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 15, "even_checkpoints": false, "max_steps": 2000000, "time_horizon": 1000, "summary_freq": 50000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./trained-envs-executables/linux/Huggy/Huggy", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Huggy2", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}

configuration.yaml

@@ -0,0 +1,79 @@
+default_settings: null
+behaviors:
+  Huggy:
+    trainer_type: ppo
+    hyperparameters:
+      batch_size: 2048
+      buffer_size: 20480
+      learning_rate: 0.0003
+      beta: 0.005
+      epsilon: 0.2
+      lambd: 0.95
+      num_epoch: 3
+      shared_critic: false
+      learning_rate_schedule: linear
+      beta_schedule: linear
+      epsilon_schedule: linear
+    checkpoint_interval: 200000
+    network_settings:
+      normalize: true
+      hidden_units: 512
+      num_layers: 3
+      vis_encode_type: simple
+      memory: null
+      goal_conditioning_type: hyper
+      deterministic: false
+    reward_signals:
+      extrinsic:
+        gamma: 0.995
+        strength: 1.0
+        network_settings:
+          normalize: false
+          hidden_units: 128
+          num_layers: 2
+          vis_encode_type: simple
+          memory: null
+          goal_conditioning_type: hyper
+          deterministic: false
+    init_path: null
+    keep_checkpoints: 15
+    even_checkpoints: false
+    max_steps: 2000000
+    time_horizon: 1000
+    summary_freq: 50000
+    threaded: false
+    self_play: null
+    behavioral_cloning: null
+env_settings:
+  env_path: ./trained-envs-executables/linux/Huggy/Huggy
+  env_args: null
+  base_port: 5005
+  num_envs: 1
+  num_areas: 1
+  timeout_wait: 60
+  seed: -1
+  max_lifetime_restarts: 10
+  restarts_rate_limit_n: 1
+  restarts_rate_limit_period_s: 60
+engine_settings:
+  width: 84
+  height: 84
+  quality_level: 5
+  time_scale: 20
+  target_frame_rate: -1
+  capture_frame_rate: 60
+  no_graphics: true
+  no_graphics_monitor: false
+environment_parameters: null
+checkpoint_settings:
+  run_id: Huggy2
+  initialize_from: null
+  load_model: false
+  resume: false
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: null
+debug: false

run_logs/Player-0.log

@@ -0,0 +1,294 @@
+Mono path[0] = '/content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_Data/Managed'
+Mono config path = '/content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face
+PlayerPrefs - Creating folder: /root/.config/unity3d/Hugging Face/Huggy
+Unable to load player prefs
+Initialize engine version: 2021.3.14f1 (eee1884e7226)
+[Subsystems] Discovering subsystems at path /content/ml-agents/trained-envs-executables/linux/Huggy/Huggy_Data/UnitySubsystems
+Forcing GfxDevice: Null
+GfxDevice: creating device client; threaded=0; jobified=0
+NullGfxDevice:
+    Version:  NULL 1.0 [1.0]
+    Renderer: Null Device
+    Vendor:   Unity Technologies
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
+ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
+ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
+ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60)
+FMOD initialized on nosound output
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.149 seconds
+ERROR: Shader Hidden/Universal Render Pipeline/Blit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/CopyDepth shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/ScreenSpaceShadows shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/Sampling shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/LutBuilderLdr shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/LutBuilderHdr shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/UberPost shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/FallbackError' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Hidden/Universal Render Pipeline/FallbackError shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/FallbackError' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Hidden/Universal Render Pipeline/Stop NaN shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/SubpixelMorphologicalAntialiasing shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/GaussianDepthOfField shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/BokehDepthOfField shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/CameraMotionBlur shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/PaniniProjection shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/Bloom shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/FinalPost shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/StencilDeferred' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+WARNING: Shader Unsupported: 'Hidden/Universal Render Pipeline/StencilDeferred' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Hidden/Universal Render Pipeline/LensFlareDataDriven shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/Scaling Setup shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/Edge Adaptive Spatial Upsampling shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/Universal Render Pipeline/Debug/DebugReplacement shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/kMotion/CameraMotionVectors shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Hidden/kMotion/ObjectMotionVectors shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Universal Render Pipeline/Lit' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+ERROR: Shader Universal Render Pipeline/Lit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Universal Render Pipeline/Lit' - All subshaders removed
+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
+UnloadTime: 1.096760 ms
+requesting resize 84 x 84
+Setting up 1 worker threads for Enlighten.
+Memory Statistics:
+[ALLOC_TEMP_TLS] TLS Allocator
+  StackAllocators : 
+    [ALLOC_TEMP_MAIN]
+      Peak usage frame count: [4.0 KB-8.0 KB]: 26750 frames, [2.0 MB-4.0 MB]: 1 frames
+      Initial Block Size 4.0 MB
+      Current Block Size 4.0 MB
+      Peak Allocated Bytes 3.6 MB
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.AsyncRead]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 128 B
+      Overflow Count 0
+    [ALLOC_TEMP_Loading.PreloadManager]
+      Initial Block Size 256.0 KB
+      Current Block Size 296.0 KB
+      Peak Allocated Bytes 211.5 KB
+      Overflow Count 4
+    [ALLOC_TEMP_Background Job.Worker 8]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 9]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Job.Worker 0]
+      Initial Block Size 256.0 KB
+      Current Block Size 256.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 10]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 14]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 6]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 12]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_EnlightenWorker]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 15]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 1]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 2]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 7]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_AssetGarbageCollectorHelper]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 5]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 13]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 11]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 3]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 0]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_Background Job.Worker 4]
+      Initial Block Size 32.0 KB
+      Current Block Size 32.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+    [ALLOC_TEMP_BatchDeleteObjects]
+      Initial Block Size 64.0 KB
+      Current Block Size 64.0 KB
+      Peak Allocated Bytes 0 B
+      Overflow Count 0
+[ALLOC_DEFAULT] Dual Thread Allocator
+  Peak main deferred allocation count 307
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.4 MB
+    [ALLOC_DEFAULT_MAIN]
+      Peak usage frame count: [16.0 MB-32.0 MB]: 26751 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 23.3 MB
+      Peak Large allocation bytes 16.0 MB
+    [ALLOC_DEFAULT_THREAD]
+      Peak usage frame count: [2.0 MB-4.0 MB]: 26751 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 2.6 MB
+      Peak Large allocation bytes 0 B
+[ALLOC_TEMP_JOB_1_FRAME]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_2_FRAMES]
+  Initial Block Size 2.0 MB
+  Used Block Count 1
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
+  Initial Block Size 2.0 MB
+  Used Block Count 2
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_TEMP_JOB_ASYNC (Background)]
+  Initial Block Size 1.0 MB
+  Used Block Count 3
+  Overflow Count (too large) 0
+  Overflow Count (full) 0
+[ALLOC_GFX] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.4 MB
+    [ALLOC_GFX_MAIN]
+      Peak usage frame count: [32.0 KB-64.0 KB]: 26750 frames, [64.0 KB-128.0 KB]: 1 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 65.6 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_GFX_THREAD]
+      Peak usage frame count: [64.0 KB-128.0 KB]: 26751 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 81.8 KB
+      Peak Large allocation bytes 0 B
+[ALLOC_CACHEOBJECTS] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.4 MB
+    [ALLOC_CACHEOBJECTS_MAIN]
+      Peak usage frame count: [1.0 MB-2.0 MB]: 26750 frames, [16.0 MB-32.0 MB]: 1 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 2
+      Peak Allocated memory 30.6 MB
+      Peak Large allocation bytes 24.9 MB
+    [ALLOC_CACHEOBJECTS_THREAD]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 26750 frames, [2.0 MB-4.0 MB]: 1 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 1
+      Peak Allocated memory 2.6 MB
+      Peak Large allocation bytes 0 B
+[ALLOC_TYPETREE] Dual Thread Allocator
+  Peak main deferred allocation count 0
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.4 MB
+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 26751 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 1.0 KB
+      Peak Large allocation bytes 0 B
+    [ALLOC_TYPETREE_THREAD]
+      Peak usage frame count: [4.0 KB-8.0 KB]: 26751 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 7.3 KB
+      Peak Large allocation bytes 0 B

run_logs/timers.json

@@ -0,0 +1,362 @@
+{
+    "name": "root",
+    "gauges": {
+        "Huggy.Policy.Entropy.mean": {
+            "value": 1.3975849151611328,
+            "min": 1.3975849151611328,
+            "max": 1.4284071922302246,
+            "count": 40
+        },
+        "Huggy.Policy.Entropy.sum": {
+            "value": 69508.8828125,
+            "min": 67874.234375,
+            "max": 77731.859375,
+            "count": 40
+        },
+        "Huggy.Environment.EpisodeLength.mean": {
+            "value": 95.18595825426945,
+            "min": 91.35977859778598,
+            "max": 366.036496350365,
+            "count": 40
+        },
+        "Huggy.Environment.EpisodeLength.sum": {
+            "value": 50163.0,
+            "min": 48937.0,
+            "max": 50163.0,
+            "count": 40
+        },
+        "Huggy.Step.mean": {
+            "value": 1999956.0,
+            "min": 49895.0,
+            "max": 1999956.0,
+            "count": 40
+        },
+        "Huggy.Step.sum": {
+            "value": 1999956.0,
+            "min": 49895.0,
+            "max": 1999956.0,
+            "count": 40
+        },
+        "Huggy.Policy.ExtrinsicValueEstimate.mean": {
+            "value": 2.3642003536224365,
+            "min": 0.05125921964645386,
+            "max": 2.4185760021209717,
+            "count": 40
+        },
+        "Huggy.Policy.ExtrinsicValueEstimate.sum": {
+            "value": 1245.93359375,
+            "min": 6.971253871917725,
+            "max": 1299.4951171875,
+            "count": 40
+        },
+        "Huggy.Environment.CumulativeReward.mean": {
+            "value": 3.6148859314493254,
+            "min": 1.6059245826566921,
+            "max": 3.889459285794235,
+            "count": 40
+        },
+        "Huggy.Environment.CumulativeReward.sum": {
+            "value": 1905.0448858737946,
+            "min": 218.40574324131012,
+            "max": 2031.5004369616508,
+            "count": 40
+        },
+        "Huggy.Policy.ExtrinsicReward.mean": {
+            "value": 3.6148859314493254,
+            "min": 1.6059245826566921,
+            "max": 3.889459285794235,
+            "count": 40
+        },
+        "Huggy.Policy.ExtrinsicReward.sum": {
+            "value": 1905.0448858737946,
+            "min": 218.40574324131012,
+            "max": 2031.5004369616508,
+            "count": 40
+        },
+        "Huggy.Losses.PolicyLoss.mean": {
+            "value": 0.018376681891580423,
+            "min": 0.013295681074992493,
+            "max": 0.022223293476660425,
+            "count": 40
+        },
+        "Huggy.Losses.PolicyLoss.sum": {
+            "value": 0.036753363783160846,
+            "min": 0.03001291224063607,
+            "max": 0.05593564656737726,
+            "count": 40
+        },
+        "Huggy.Losses.ValueLoss.mean": {
+            "value": 0.050557893638809526,
+            "min": 0.020751183883597455,
+            "max": 0.0684622330384122,
+            "count": 40
+        },
+        "Huggy.Losses.ValueLoss.sum": {
+            "value": 0.10111578727761905,
+            "min": 0.04150236776719491,
+            "max": 0.2053866991152366,
+            "count": 40
+        },
+        "Huggy.Policy.LearningRate.mean": {
+            "value": 4.587023471024997e-06,
+            "min": 4.587023471024997e-06,
+            "max": 0.00029533237655587495,
+            "count": 40
+        },
+        "Huggy.Policy.LearningRate.sum": {
+            "value": 9.174046942049994e-06,
+            "min": 9.174046942049994e-06,
+            "max": 0.00084378286873905,
+            "count": 40
+        },
+        "Huggy.Policy.Epsilon.mean": {
+            "value": 0.101528975,
+            "min": 0.101528975,
+            "max": 0.198444125,
+            "count": 40
+        },
+        "Huggy.Policy.Epsilon.sum": {
+            "value": 0.20305795,
+            "min": 0.20305795,
+            "max": 0.5812609499999999,
+            "count": 40
+        },
+        "Huggy.Policy.Beta.mean": {
+            "value": 8.629585249999997e-05,
+            "min": 8.629585249999997e-05,
+            "max": 0.0049223618375,
+            "count": 40
+        },
+        "Huggy.Policy.Beta.sum": {
+            "value": 0.00017259170499999994,
+            "min": 0.00017259170499999994,
+            "max": 0.014064921405000003,
+            "count": 40
+        },
+        "Huggy.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 40
+        },
+        "Huggy.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 40
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1712404993",
+        "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
+        "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/Huggy.yaml --env=./trained-envs-executables/linux/Huggy/Huggy --run-id=Huggy2 --no-graphics",
+        "mlagents_version": "1.1.0.dev0",
+        "mlagents_envs_version": "1.1.0.dev0",
+        "communication_protocol_version": "1.5.0",
+        "pytorch_version": "2.2.1+cu121",
+        "numpy_version": "1.23.5",
+        "end_time_seconds": "1712407662"
+    },
+    "total": 2668.379221491,
+    "count": 1,
+    "self": 0.8064067400000567,
+    "children": {
+        "run_training.setup": {
+            "total": 0.10675024400001121,
+            "count": 1,
+            "self": 0.10675024400001121
+        },
+        "TrainerController.start_learning": {
+            "total": 2667.466064507,
+            "count": 1,
+            "self": 5.067278052023994,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 3.656751364999991,
+                    "count": 1,
+                    "self": 3.656751364999991
+                },
+                "TrainerController.advance": {
+                    "total": 2658.553113895976,
+                    "count": 231463,
+                    "self": 5.22535163304201,
+                    "children": {
+                        "env_step": {
+                            "total": 2138.5558347299593,
+                            "count": 231463,
+                            "self": 1769.7513491140353,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 365.3601539528461,
+                                    "count": 231463,
+                                    "self": 19.1639386628799,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 346.1962152899662,
+                                            "count": 222921,
+                                            "self": 346.1962152899662
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 3.444331663078003,
+                                    "count": 231463,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 2659.1314239430967,
+                                            "count": 231463,
+                                            "is_parallel": true,
+                                            "self": 1237.9036136301918,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.001125971999954345,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0003014989999883255,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.0008244729999660194,
+                                                                    "count": 2,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0008244729999660194
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.03163817500001187,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.00042371699998966506,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.00024449599999343263,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.00024449599999343263
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.030157830999996804,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.030157830999996804
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.0008121310000319681,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.00021024100004751745,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.0006018899999844507,
+                                                                            "count": 2,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.0006018899999844507
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 1421.227810312905,
+                                                    "count": 231462,
+                                                    "is_parallel": true,
+                                                    "self": 43.71402651797666,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 90.6062976921063,
+                                                            "count": 231462,
+                                                            "is_parallel": true,
+                                                            "self": 90.6062976921063
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 1184.223601187894,
+                                                            "count": 231462,
+                                                            "is_parallel": true,
+                                                            "self": 1184.223601187894
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 102.68388491492794,
+                                                            "count": 231462,
+                                                            "is_parallel": true,
+                                                            "self": 36.39666165193796,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 66.28722326298998,
+                                                                    "count": 462924,
+                                                                    "is_parallel": true,
+                                                                    "self": 66.28722326298998
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 514.7719275329744,
+                            "count": 231463,
+                            "self": 7.660827995975978,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 159.72329204999858,
+                                    "count": 231463,
+                                    "self": 158.12651345299787,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 1.5967785970007071,
+                                            "count": 10,
+                                            "self": 1.5967785970007071
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 347.3878074869998,
+                                    "count": 96,
+                                    "self": 279.50120211500183,
+                                    "children": {
+                                        "TorchPPOOptimizer.update": {
+                                            "total": 67.88660537199797,
+                                            "count": 2880,
+                                            "self": 67.88660537199797
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 1.1550000635907054e-06,
+                    "count": 1,
+                    "self": 1.1550000635907054e-06
+                },
+                "TrainerController._save_models": {
+                    "total": 0.18892003900009513,
+                    "count": 1,
+                    "self": 0.003052208000099199,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.18586783099999593,
+                            "count": 1,
+                            "self": 0.18586783099999593
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,119 @@
+{
+    "Huggy": {
+        "checkpoints": [
+            {
+                "steps": 199623,
+                "file_path": "results/Huggy2/Huggy/Huggy-199623.onnx",
+                "reward": 3.0210925799149733,
+                "creation_time": 1712405269.1366546,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-199623.pt"
+                ]
+            },
+            {
+                "steps": 399950,
+                "file_path": "results/Huggy2/Huggy/Huggy-399950.onnx",
+                "reward": 4.015519460966421,
+                "creation_time": 1712405533.0507653,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-399950.pt"
+                ]
+            },
+            {
+                "steps": 599294,
+                "file_path": "results/Huggy2/Huggy/Huggy-599294.onnx",
+                "reward": 3.5489338874816894,
+                "creation_time": 1712405798.4254124,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-599294.pt"
+                ]
+            },
+            {
+                "steps": 799914,
+                "file_path": "results/Huggy2/Huggy/Huggy-799914.onnx",
+                "reward": 3.7324464917182922,
+                "creation_time": 1712406065.8358784,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-799914.pt"
+                ]
+            },
+            {
+                "steps": 999937,
+                "file_path": "results/Huggy2/Huggy/Huggy-999937.onnx",
+                "reward": 3.97359187449884,
+                "creation_time": 1712406341.84818,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-999937.pt"
+                ]
+            },
+            {
+                "steps": 1199860,
+                "file_path": "results/Huggy2/Huggy/Huggy-1199860.onnx",
+                "reward": 4.151971825957299,
+                "creation_time": 1712406608.059188,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-1199860.pt"
+                ]
+            },
+            {
+                "steps": 1399860,
+                "file_path": "results/Huggy2/Huggy/Huggy-1399860.onnx",
+                "reward": 3.9963136437343576,
+                "creation_time": 1712406877.6574948,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-1399860.pt"
+                ]
+            },
+            {
+                "steps": 1599943,
+                "file_path": "results/Huggy2/Huggy/Huggy-1599943.onnx",
+                "reward": 3.9653237431736317,
+                "creation_time": 1712407143.1168706,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-1599943.pt"
+                ]
+            },
+            {
+                "steps": 1799985,
+                "file_path": "results/Huggy2/Huggy/Huggy-1799985.onnx",
+                "reward": 3.4598390545163835,
+                "creation_time": 1712407405.7000566,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-1799985.pt"
+                ]
+            },
+            {
+                "steps": 1999956,
+                "file_path": "results/Huggy2/Huggy/Huggy-1999956.onnx",
+                "reward": 3.5468265592777235,
+                "creation_time": 1712407661.2225497,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-1999956.pt"
+                ]
+            },
+            {
+                "steps": 2000706,
+                "file_path": "results/Huggy2/Huggy/Huggy-2000706.onnx",
+                "reward": 3.519200734042246,
+                "creation_time": 1712407661.4554203,
+                "auxillary_file_paths": [
+                    "results/Huggy2/Huggy/Huggy-2000706.pt"
+                ]
+            }
+        ],
+        "final_checkpoint": {
+            "steps": 2000706,
+            "file_path": "results/Huggy2/Huggy.onnx",
+            "reward": 3.519200734042246,
+            "creation_time": 1712407661.4554203,
+            "auxillary_file_paths": [
+                "results/Huggy2/Huggy/Huggy-2000706.pt"
+            ]
+        }
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "1.1.0.dev0",
+        "torch_version": "2.2.1+cu121"
+    }
+}