First Push

README.md

@@ -0,0 +1,35 @@
+---
+library_name: ml-agents
+tags:
+- SoccerTwos
+- deep-reinforcement-learning
+- reinforcement-learning
+- ML-Agents-SoccerTwos
+---
+
+  # **poca** Agent playing **SoccerTwos**
+  This is a trained model of a **poca** agent playing **SoccerTwos**
+  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: APLunch/poca-SoccerTwos
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

SoccerTwos/SoccerTwos-499970.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce0ea597af83183172c7f2910c98ceec98a1f0883a9fd899fd4e4a1e54ed7497
+size 1768747

SoccerTwos/SoccerTwos-499970.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7276cbe618e6450db66311307db8d6da8e9aecae41194952dc248fc0715ec90f
+size 28431898

SoccerTwos/SoccerTwos-6499954.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e1eae3d076c839eb4870ca8d19829f556c0f239d729f3973bf39cb8b0c860f3
+size 1768747

SoccerTwos/SoccerTwos-6499954.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bce59fb2fa06244c3d500361c15456a033317f3bfd79b4fae70c5b5bd3d5383
+size 28432022

SoccerTwos/SoccerTwos-6999971.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b6884f65f77f3fb83958b0ebd1db79e51beb44ebbb017b3496762836518b6a
+size 1768747

SoccerTwos/SoccerTwos-6999971.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83d6b8a54132c8ac43d8853c54cd9a42d4c95111700a2f13fcbe01f3d94ff3f6
+size 28432022

SoccerTwos/SoccerTwos-7499994.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cafc6f42a743973a1e7d42fc67a2c2452b2798a5e246a2a0fb66adb7c1dec489
+size 1768747

SoccerTwos/SoccerTwos-7499994.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e27b2f157a559ee4a830e02fcf21a61a770b69dcbba47b6917ffae527b91c03
+size 28432022

SoccerTwos/SoccerTwos-7999976.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce18fafc2d60aabedcb0937cdf98f807b30432f0e40eb504f288cce85d638f21
+size 1768747

SoccerTwos/SoccerTwos-7999976.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31841dc466c457af3868a5bb9be18d0d63f7675e9479e5ac7e0b3ab0413a9be7
+size 28432022

SoccerTwos/SoccerTwos-8499895.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b8a4acce3822b2e799eb48bf35860fbcd61d48c6565d0a01275ac47fc5c73a5
+size 1768747

SoccerTwos/SoccerTwos-8499895.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5a787d8b3277f5a173d1d8bf556eecc59f6f5061a1c65b7ef5a644d4cbdf872
+size 28432022

SoccerTwos/SoccerTwos-999368.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a359f8363d06bea884e606babedb834809f03d7560a1349bde8107bbcf007806
+size 1768747

SoccerTwos/SoccerTwos-999368.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:709e8ddc5253a3ef6eeb447f8b3026ff0115fd546863e48b8204ed503d8c78c3
+size 28431898

SoccerTwos/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b8561f60b554e2369e69be5414d134af38ee655e3c870de3e511f5bd705d319f
+size 28431030

SoccerTwos/events.out.tfevents.1714946654.8a3b55c2c72a.7434.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d7186210aaad935df4df8a2646f09dd77c75bdcf35ff1dc38c2e4149c70fd79
+size 1094322

SoccerTwos/events.out.tfevents.1714949731.794b2673f38f.1687.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ee65cf1fcc018652bb57e59ec46919337cb53689db95f1af56b7246fd00bc0e
+size 7852682

config.json

@@ -0,0 +1 @@
+{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "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}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SoccerTwos.x86_64", "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": "SoccerTwos-0505", "initialize_from": null, "load_model": false, "resume": true, "force": false, "train_model": false, "inference": false, "results_dir": "./drive/MyDrive/ml-agents/results/"}, "torch_settings": {"device": null}, "debug": false}

configuration.yaml

@@ -0,0 +1,84 @@
+default_settings: null
+behaviors:
+  SoccerTwos:
+    trainer_type: poca
+    hyperparameters:
+      batch_size: 2048
+      buffer_size: 20480
+      learning_rate: 0.0003
+      beta: 0.005
+      epsilon: 0.2
+      lambd: 0.95
+      num_epoch: 3
+      learning_rate_schedule: constant
+      beta_schedule: constant
+      epsilon_schedule: constant
+    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
+    init_path: null
+    keep_checkpoints: 5
+    even_checkpoints: false
+    max_steps: 50000000
+    time_horizon: 1000
+    summary_freq: 10000
+    threaded: false
+    self_play:
+      save_steps: 50000
+      team_change: 200000
+      swap_steps: 2000
+      window: 10
+      play_against_latest_model_ratio: 0.5
+      initial_elo: 1200.0
+    behavioral_cloning: null
+env_settings:
+  env_path: ./training-envs-executables/linux/SoccerTwos.x86_64
+  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: SoccerTwos-0505
+  initialize_from: null
+  load_model: false
+  resume: true
+  force: false
+  train_model: false
+  inference: false
+  results_dir: ./drive/MyDrive/ml-agents/results/
+torch_settings:
+  device: null
+debug: false

run_logs/Player-0.log

@@ -0,0 +1,293 @@
+Mono path[0] = '/content/training-envs-executables/linux/SoccerTwos_Data/Managed'
+Mono config path = '/content/training-envs-executables/linux/SoccerTwos_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies
+PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/SoccerTwos
+Unable to load player prefs
+Initialize engine version: 2021.3.14f1 (eee1884e7226)
+[Subsystems] Discovering subsystems at path /content/training-envs-executables/linux/SoccerTwos_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  0.085 seconds
+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)
+ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard (Specular setup)' - 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 (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+WARNING: Shader Unsupported: 'Standard (Specular setup)' - 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: '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?
+UnloadTime: 0.745918 ms
+Registered Communicator in Agent.
+ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
+requesting resize 84 x 84
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+TOO LONG
+Setting up 1 worker threads for Enlighten.
+Memory Statistics:
+[ALLOC_TEMP_TLS] TLS Allocator
+  StackAllocators : 
+    [ALLOC_TEMP_MAIN]
+      Peak usage frame count: [8.0 KB-16.0 KB]: 143972 frames, [2.0 MB-4.0 MB]: 1 frames
+      Initial Block Size 4.0 MB
+      Current Block Size 4.0 MB
+      Peak Allocated Bytes 2.1 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 300.0 KB
+      Peak Allocated Bytes 249.6 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 0.7 KB
+      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 3
+    [ALLOC_BUCKET]
+      Large Block size 4.0 MB
+      Used Block count 1
+      Peak Allocated bytes 1.0 MB
+    [ALLOC_DEFAULT_MAIN]
+      Peak usage frame count: [4.0 MB-8.0 MB]: 143973 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 4.6 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_DEFAULT_THREAD]
+      Peak usage frame count: [16.0 MB-32.0 MB]: 143973 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 17.6 MB
+      Peak Large allocation bytes 16.0 MB
+[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 1.0 MB
+    [ALLOC_GFX_MAIN]
+      Peak usage frame count: [32.0 KB-64.0 KB]: 143972 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: [128.0 KB-256.0 KB]: 143973 frames
+      Requested Block Size 16.0 MB
+      Peak Block count 1
+      Peak Allocated memory 173.5 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 1.0 MB
+    [ALLOC_CACHEOBJECTS_MAIN]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 143973 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 1
+      Peak Allocated memory 0.6 MB
+      Peak Large allocation bytes 0 B
+    [ALLOC_CACHEOBJECTS_THREAD]
+      Peak usage frame count: [0.5 MB-1.0 MB]: 143972 frames, [4.0 MB-8.0 MB]: 1 frames
+      Requested Block Size 4.0 MB
+      Peak Block count 2
+      Peak Allocated memory 4.5 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 1.0 MB
+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 143973 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: [1.0 KB-2.0 KB]: 143972 frames, [2.0 KB-4.0 KB]: 1 frames
+      Requested Block Size 2.0 MB
+      Peak Block count 1
+      Peak Allocated memory 2.2 KB
+      Peak Large allocation bytes 0 B

run_logs/timers.json

@@ -0,0 +1,424 @@
+{
+    "name": "root",
+    "gauges": {
+        "SoccerTwos.Policy.Entropy.mean": {
+            "value": 1.6973260641098022,
+            "min": 1.6560695171356201,
+            "max": 3.149529457092285,
+            "count": 765
+        },
+        "SoccerTwos.Policy.Entropy.sum": {
+            "value": 33457.69140625,
+            "min": 18979.73046875,
+            "max": 85853.65625,
+            "count": 765
+        },
+        "SoccerTwos.Environment.EpisodeLength.mean": {
+            "value": 51.729166666666664,
+            "min": 40.134453781512605,
+            "max": 433.72727272727275,
+            "count": 765
+        },
+        "SoccerTwos.Environment.EpisodeLength.sum": {
+            "value": 19864.0,
+            "min": 1728.0,
+            "max": 22012.0,
+            "count": 765
+        },
+        "SoccerTwos.Self-play.ELO.mean": {
+            "value": 1503.4222153489015,
+            "min": 1198.6534959461387,
+            "max": 1530.9758294152673,
+            "count": 765
+        },
+        "SoccerTwos.Self-play.ELO.sum": {
+            "value": 288657.0653469891,
+            "min": 7210.449777128347,
+            "max": 356989.4800138407,
+            "count": 765
+        },
+        "SoccerTwos.Step.mean": {
+            "value": 8639952.0,
+            "min": 999862.0,
+            "max": 8639952.0,
+            "count": 765
+        },
+        "SoccerTwos.Step.sum": {
+            "value": 8639952.0,
+            "min": 999862.0,
+            "max": 8639952.0,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
+            "value": -0.08352767676115036,
+            "min": -0.12734852731227875,
+            "max": 0.18192946910858154,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
+            "value": -15.95378589630127,
+            "min": -23.941524505615234,
+            "max": 26.015914916992188,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
+            "value": -0.07900454849004745,
+            "min": -0.1311393827199936,
+            "max": 0.18299028277397156,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
+            "value": -15.089868545532227,
+            "min": -24.654205322265625,
+            "max": 26.41413688659668,
+            "count": 765
+        },
+        "SoccerTwos.Environment.CumulativeReward.mean": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 765
+        },
+        "SoccerTwos.Environment.CumulativeReward.sum": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.mean": {
+            "value": -0.20733821953778492,
+            "min": -0.32395813977995586,
+            "max": 0.875900000333786,
+            "count": 765
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.sum": {
+            "value": -39.60159993171692,
+            "min": -59.902000188827515,
+            "max": 50.295599937438965,
+            "count": 765
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.mean": {
+            "value": -0.20733821953778492,
+            "min": -0.32395813977995586,
+            "max": 0.875900000333786,
+            "count": 765
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.sum": {
+            "value": -39.60159993171692,
+            "min": -59.902000188827515,
+            "max": 50.295599937438965,
+            "count": 765
+        },
+        "SoccerTwos.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 765
+        },
+        "SoccerTwos.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 765
+        },
+        "SoccerTwos.Losses.PolicyLoss.mean": {
+            "value": 0.017286343254575818,
+            "min": 0.011345698032528162,
+            "max": 0.023778949840925635,
+            "count": 370
+        },
+        "SoccerTwos.Losses.PolicyLoss.sum": {
+            "value": 0.017286343254575818,
+            "min": 0.011345698032528162,
+            "max": 0.023778949840925635,
+            "count": 370
+        },
+        "SoccerTwos.Losses.ValueLoss.mean": {
+            "value": 0.10663634488979976,
+            "min": 0.013408512560029824,
+            "max": 0.12825867583354314,
+            "count": 370
+        },
+        "SoccerTwos.Losses.ValueLoss.sum": {
+            "value": 0.10663634488979976,
+            "min": 0.013408512560029824,
+            "max": 0.12825867583354314,
+            "count": 370
+        },
+        "SoccerTwos.Losses.BaselineLoss.mean": {
+            "value": 0.10817247877518336,
+            "min": 0.01368649530534943,
+            "max": 0.13054989725351335,
+            "count": 370
+        },
+        "SoccerTwos.Losses.BaselineLoss.sum": {
+            "value": 0.10817247877518336,
+            "min": 0.01368649530534943,
+            "max": 0.13054989725351335,
+            "count": 370
+        },
+        "SoccerTwos.Policy.LearningRate.mean": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 370
+        },
+        "SoccerTwos.Policy.LearningRate.sum": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 370
+        },
+        "SoccerTwos.Policy.Epsilon.mean": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 370
+        },
+        "SoccerTwos.Policy.Epsilon.sum": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 370
+        },
+        "SoccerTwos.Policy.Beta.mean": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 370
+        },
+        "SoccerTwos.Policy.Beta.sum": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 370
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1714949730",
+        "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
+        "command_line_arguments": "/usr/local/bin/mlagents-learn ml-agents/config/poca/SoccerTwos.yaml --env=./training-envs-executables/linux/SoccerTwos.x86_64 --run-id=SoccerTwos-0505 --no-graphics --resume --results-dir ./drive/MyDrive/ml-agents/results/",
+        "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": "1714967350"
+    },
+    "total": 17620.125808391,
+    "count": 1,
+    "self": 0.48291332200096804,
+    "children": {
+        "run_training.setup": {
+            "total": 0.6506995189999998,
+            "count": 1,
+            "self": 0.6506995189999998
+        },
+        "TrainerController.start_learning": {
+            "total": 17618.99219555,
+            "count": 1,
+            "self": 11.972277904234943,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 8.113230823005267,
+                    "count": 40,
+                    "self": 8.113230823005267
+                },
+                "TrainerController.advance": {
+                    "total": 17598.90119277576,
+                    "count": 531961,
+                    "self": 12.901594699058478,
+                    "children": {
+                        "env_step": {
+                            "total": 13503.448067474645,
+                            "count": 531961,
+                            "self": 10433.27649414074,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 3063.00353231766,
+                                    "count": 531961,
+                                    "self": 85.60644127860269,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 2977.397091039057,
+                                            "count": 959826,
+                                            "self": 2977.397091039057
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 7.168041016244274,
+                                    "count": 531960,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 17589.435670211722,
+                                            "count": 531960,
+                                            "is_parallel": true,
+                                            "self": 8800.974009851296,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.007636214999990898,
+                                                            "count": 2,
+                                                            "is_parallel": true,
+                                                            "self": 0.005108238000104848,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.00252797699988605,
+                                                                    "count": 8,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.00252797699988605
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.039467563000016526,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0011447839999618736,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.0009036370000217175,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0009036370000217175
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.03408657100004575,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.03408657100004575
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.0033325709999871833,
+                                                                    "count": 2,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0006172000000219668,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.0027153709999652165,
+                                                                            "count": 8,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.0027153709999652165
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "steps_from_proto": {
+                                                    "total": 0.0916574839878308,
+                                                    "count": 78,
+                                                    "is_parallel": true,
+                                                    "self": 0.01781331799190866,
+                                                    "children": {
+                                                        "_process_rank_one_or_two_observation": {
+                                                            "total": 0.07384416599592214,
+                                                            "count": 312,
+                                                            "is_parallel": true,
+                                                            "self": 0.07384416599592214
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 8788.370002876438,
+                                                    "count": 531959,
+                                                    "is_parallel": true,
+                                                    "self": 543.8803059925285,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 361.7545129028885,
+                                                            "count": 531959,
+                                                            "is_parallel": true,
+                                                            "self": 361.7545129028885
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 6157.555378543017,
+                                                            "count": 531959,
+                                                            "is_parallel": true,
+                                                            "self": 6157.555378543017
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 1725.1798054380033,
+                                                            "count": 1063918,
+                                                            "is_parallel": true,
+                                                            "self": 289.157194034422,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 1436.0226114035813,
+                                                                    "count": 4255672,
+                                                                    "is_parallel": true,
+                                                                    "self": 1436.0226114035813
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 4082.5515306020584,
+                            "count": 531960,
+                            "self": 97.16858463125982,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 1890.426589565792,
+                                    "count": 531960,
+                                    "self": 1885.1257955897956,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 5.300793975996328,
+                                            "count": 16,
+                                            "self": 5.300793975996328
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 2094.9563564050068,
+                                    "count": 371,
+                                    "self": 1231.874581490914,
+                                    "children": {
+                                        "TorchPOCAOptimizer.update": {
+                                            "total": 863.0817749140929,
+                                            "count": 11130,
+                                            "self": 863.0817749140929
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 1.4930010365787894e-06,
+                    "count": 1,
+                    "self": 1.4930010365787894e-06
+                },
+                "TrainerController._save_models": {
+                    "total": 0.005492553998919902,
+                    "count": 1,
+                    "self": 4.1317998693557456e-05,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.005451236000226345,
+                            "count": 1,
+                            "self": 0.005451236000226345
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,57 @@
+{
+    "SoccerTwos": {
+        "checkpoints": [
+            {
+                "steps": 6499954,
+                "file_path": "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-6499954.onnx",
+                "reward": 0.0,
+                "creation_time": 1714962367.029262,
+                "auxillary_file_paths": [
+                    "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-6499954.pt"
+                ]
+            },
+            {
+                "steps": 6999971,
+                "file_path": "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-6999971.onnx",
+                "reward": 0.0,
+                "creation_time": 1714963530.4275367,
+                "auxillary_file_paths": [
+                    "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-6999971.pt"
+                ]
+            },
+            {
+                "steps": 7499994,
+                "file_path": "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-7499994.onnx",
+                "reward": 0.0,
+                "creation_time": 1714964689.626563,
+                "auxillary_file_paths": [
+                    "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-7499994.pt"
+                ]
+            },
+            {
+                "steps": 7999976,
+                "file_path": "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-7999976.onnx",
+                "reward": 0.0,
+                "creation_time": 1714965844.8769622,
+                "auxillary_file_paths": [
+                    "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-7999976.pt"
+                ]
+            },
+            {
+                "steps": 8499895,
+                "file_path": "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-8499895.onnx",
+                "reward": 0.0,
+                "creation_time": 1714967005.92974,
+                "auxillary_file_paths": [
+                    "./drive/MyDrive/ml-agents/results/SoccerTwos-0505/SoccerTwos/SoccerTwos-8499895.pt"
+                ]
+            }
+        ],
+        "elo": 1501.8660939962435
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "1.1.0.dev0",
+        "torch_version": "2.2.1+cu121"
+    }
+}