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README.md

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-
----
-      tags:
-      - unity-ml-agents
-      - ml-agents
-      - deep-reinforcement-learning
-      - reinforcement-learning
-      - ML-Agents-Pyramids
-      library_name: ml-agents
----
-    
-  # **ppo** Agent playing **Pyramids**
-  This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
-  
-  ## Usage (with ML-Agents)
-  The Documentation: https://github.com/huggingface/ml-agents#get-started
-  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
-
-
-  ### Resume the training
-  ```
-  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. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids
-  2. Step 1: Write your model_id: ButtaByte/MLAgents-Pyramids
-  3. Step 2: Select your *.nn /*.onnx file
-  4. Click on Watch the agent play 👀
+---
+library_name: ml-agents
+tags:
+- Pyramids
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-Pyramids
+---
+
+  # **ppo** Agent playing **Pyramids**
+  This is a trained model of a **ppo** agent playing **Pyramids**
+  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+
+  ## 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
+
+  ### 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: ButtaByte/MLAgents-Pyramids
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
   

config.json

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-{"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "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}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 1000000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "training-envs-executables/Windows/Pyramids", "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": "First_Training", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
+{"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 5, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "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}}, "rnd": {"gamma": 0.99, "strength": 0.05, "network_settings": {"normalize": false, "hidden_units": 32, "num_layers": 6, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0005, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 3000000, "time_horizon": 256, "summary_freq": 50000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "training-envs-executables/Windows/Pyramids", "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": "First_Training", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}

configuration.yaml

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-default_settings: null
-behaviors:
-  Pyramids:
-    trainer_type: ppo
-    hyperparameters:
-      batch_size: 128
-      buffer_size: 2048
-      learning_rate: 0.0003
-      beta: 0.01
-      epsilon: 0.2
-      lambd: 0.95
-      num_epoch: 3
-      shared_critic: false
-      learning_rate_schedule: linear
-      beta_schedule: linear
-      epsilon_schedule: linear
-    checkpoint_interval: 500000
-    network_settings:
-      normalize: false
-      hidden_units: 512
-      num_layers: 2
-      vis_encode_type: simple
-      memory: null
-      goal_conditioning_type: hyper
-      deterministic: false
-    reward_signals:
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-        strength: 1.0
-        network_settings:
-          normalize: false
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-          num_layers: 2
-          vis_encode_type: simple
-          memory: null
-          goal_conditioning_type: hyper
-          deterministic: false
-      rnd:
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-        strength: 0.01
-        network_settings:
-          normalize: false
-          hidden_units: 64
-          num_layers: 3
-          vis_encode_type: simple
-          memory: null
-          goal_conditioning_type: hyper
-          deterministic: false
-        learning_rate: 0.0001
-        encoding_size: null
-    init_path: null
-    keep_checkpoints: 5
-    even_checkpoints: false
-    max_steps: 1000000
-    time_horizon: 128
-    summary_freq: 30000
-    threaded: false
-    self_play: null
-    behavioral_cloning: null
-env_settings:
-  env_path: training-envs-executables/Windows/Pyramids
-  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: First_Training
-  initialize_from: null
-  load_model: false
-  resume: true
-  force: false
-  train_model: false
-  inference: false
-  results_dir: results
-torch_settings:
-  device: null
-debug: false
+default_settings: null
+behaviors:
+  Pyramids:
+    trainer_type: ppo
+    hyperparameters:
+      batch_size: 128
+      buffer_size: 2048
+      learning_rate: 0.0003
+      beta: 0.01
+      epsilon: 0.2
+      lambd: 0.95
+      num_epoch: 3
+      shared_critic: false
+      learning_rate_schedule: linear
+      beta_schedule: linear
+      epsilon_schedule: linear
+    checkpoint_interval: 500000
+    network_settings:
+      normalize: false
+      hidden_units: 256
+      num_layers: 5
+      vis_encode_type: simple
+      memory: null
+      goal_conditioning_type: hyper
+      deterministic: false
+    reward_signals:
+      extrinsic:
+        gamma: 0.99
+        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
+      rnd:
+        gamma: 0.99
+        strength: 0.05
+        network_settings:
+          normalize: false
+          hidden_units: 32
+          num_layers: 6
+          vis_encode_type: simple
+          memory: null
+          goal_conditioning_type: hyper
+          deterministic: false
+        learning_rate: 0.0005
+        encoding_size: null
+    init_path: null
+    keep_checkpoints: 5
+    even_checkpoints: false
+    max_steps: 3000000
+    time_horizon: 256
+    summary_freq: 50000
+    threaded: false
+    self_play: null
+    behavioral_cloning: null
+env_settings:
+  env_path: training-envs-executables/Windows/Pyramids
+  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
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+  resume: true
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: null
+debug: false

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-##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1776813483348,"processId":10232,"allocatedMemory":6214294,"memoryLabels":[{"Default":9421},{"Permanent":10160},{"NewDelete":11832},{"Thread":4229100},{"Manager":19632},{"VertexData":12},{"Geometry":560},{"Texture":16},{"Shader":68616},{"Material":24},{"GfxDevice":49488},{"Animation":240},{"Audio":3928},{"Physics":304},{"Serialization":288},{"Input":14208},{"JobScheduler":200},{"Mono":40},{"ScriptingNativeRuntime":216},{"BaseObject":1617364},{"Resource":688},{"Renderer":1960},{"Transform":16},{"File":840},{"WebCam":40},{"Culling":40},{"Terrain":953},{"Wind":24},{"STL":48},{"String":3849},{"DynamicArray":30868},{"HashMap":7680},{"Utility":5152},{"PoolAlloc":1368},{"TypeTree":1792},{"ScriptManager":80},{"RuntimeInitializeOnLoadManager":80},{"SpriteAtlas":128},{"GI":3688},{"Unet":16},{"Director":7776},{"WebRequest":688},{"VR":45521},{"SceneManager":424},{"Video":32},{"LazyScriptCache":40},{"NativeArray":12},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":392},{"VirtualTexturing":57888},{"AssetReference":40}]}
+Mono path[0] = 'C:/Users/tayla/ml-agents/training-envs-executables/Windows/Pyramids/Pyramids_Data/Managed'
+Mono config path = 'C:/Users/tayla/ml-agents/training-envs-executables/Windows/Pyramids/MonoBleedingEdge/etc'
+Found 1 interfaces on host : 0) 172.22.41.209
+Multi-casting "[IP] 172.22.41.209 [Port] 55219 [Flags] 2 [Guid] 4096944147 [EditorId] 924393121 [Version] 1048832 [Id] WindowsPlayer(2,LAPTOP-RIKMDO9P) [Debug] 0 [PackageName] WindowsPlayer [ProjectName] Pyramids" to [225.0.0.222:54997]...
+Initialize engine version: 2021.3.4f1 (cb45f9cae8b7)
+[Subsystems] Discovering subsystems at path C:/Users/tayla/ml-agents/training-envs-executables/Windows/Pyramids/Pyramids_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
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.116 seconds
+ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+Microsoft Media Foundation video decoding to texture disabled: graphics device is Null, only Direct3D 11 and Direct3D 12 (only on desktop) are supported for hardware-accelerated video decoding.
+ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - 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 Legacy Shaders/Diffuse shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - 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: 'Standard' - 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 Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard' - 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: 'Autodesk Interactive' - 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 Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Autodesk Interactive' - 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: 'ML-Agents/GridPattern' - 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 ML-Agents/GridPattern shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - 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: 1.148100 ms
+ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+Setting up 8 worker threads for Enlighten.
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run_logs/training_status.json

@@ -1,47 +1,65 @@
-{
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