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README.md

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+---
+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://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-SoccerTwos
+  2. Step 1: Find your model_id: Isaac009/poca-SoccerTwo-v5
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

SoccerTwos.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:101c4aeb65bebf1444be1dd6143dda49a1c3bd7679928505e4175d482131e240
+size 2815689

config.json

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+{"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0002, "beta": 0.01, "epsilon": 0.25, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "constant"}, "checkpoint_interval": 2000000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.973, "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": 2, "even_checkpoints": false, "max_steps": 1700000000, "time_horizon": 1000, "summary_freq": 100000, "threaded": false, "self_play": {"save_steps": 200000, "team_change": 200000, "swap_steps": 2000, "window": 50, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SoccerTwos/SoccerTwos.x86_64", "env_args": null, "base_port": 5005, "num_envs": 4, "num_areas": 1, "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": 20.0, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos", "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:
+  SoccerTwos:
+    trainer_type: poca
+    hyperparameters:
+      batch_size: 2048
+      buffer_size: 20480
+      learning_rate: 0.0002
+      beta: 0.01
+      epsilon: 0.25
+      lambd: 0.95
+      num_epoch: 3
+      learning_rate_schedule: linear
+      beta_schedule: linear
+      epsilon_schedule: constant
+    checkpoint_interval: 2000000
+    network_settings:
+      normalize: false
+      hidden_units: 512
+      num_layers: 3
+      vis_encode_type: simple
+      memory: null
+      goal_conditioning_type: hyper
+      deterministic: false
+    reward_signals:
+      extrinsic:
+        gamma: 0.973
+        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: 2
+    even_checkpoints: false
+    max_steps: 1700000000
+    time_horizon: 1000
+    summary_freq: 100000
+    threaded: false
+    self_play:
+      save_steps: 200000
+      team_change: 200000
+      swap_steps: 2000
+      window: 50
+      play_against_latest_model_ratio: 0.5
+      initial_elo: 1200.0
+    behavioral_cloning: null
+env_settings:
+  env_path: ./training-envs-executables/linux/SoccerTwos/SoccerTwos.x86_64
+  env_args: null
+  base_port: 5005
+  num_envs: 4
+  num_areas: 1
+  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: 20.0
+  target_frame_rate: -1
+  capture_frame_rate: 60
+  no_graphics: true
+environment_parameters: null
+checkpoint_settings:
+  run_id: SoccerTwos
+  initialize_from: null
+  load_model: false
+  resume: true
+  force: false
+  train_model: false
+  inference: false
+  results_dir: results
+torch_settings:
+  device: null
+debug: false

run_logs/Player-0.log

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+Mono path[0] = '/home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/Managed'
+Mono config path = '/home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+Initialize engine version: 2021.3.14f1 (eee1884e7226)
+[Subsystems] Discovering subsystems at path /home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/UnitySubsystems
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+Mono config path = '/home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
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+NullGfxDevice:
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+    Vendor:   Unity Technologies
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+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
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+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+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
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+WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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+Memory Statistics:
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+    [ALLOC_DEFAULT_THREAD]
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+    [ALLOC_BUCKET]
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+      Peak Large allocation bytes 0 B
+    [ALLOC_GFX_THREAD]
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+[ALLOC_CACHEOBJECTS] Dual Thread Allocator
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+    [ALLOC_BUCKET]
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+    [ALLOC_CACHEOBJECTS_MAIN]
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+      Peak Large allocation bytes 0 B
+    [ALLOC_CACHEOBJECTS_THREAD]
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+      Requested Block Size 4.0 MB
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+[ALLOC_TYPETREE] Dual Thread Allocator
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+    [ALLOC_BUCKET]
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+    [ALLOC_TYPETREE_MAIN]
+      Peak usage frame count: [0-1.0 KB]: 2964142 frames
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+      Peak Block count 1
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+      Peak Large allocation bytes 0 B
+    [ALLOC_TYPETREE_THREAD]
+      Peak usage frame count: [1.0 KB-2.0 KB]: 2964141 frames, [2.0 KB-4.0 KB]: 1 frames
+      Requested Block Size 2.0 MB
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+      Peak Large allocation bytes 0 B

run_logs/Player-2.log

@@ -0,0 +1,1422 @@
+Mono path[0] = '/home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/Managed'
+Mono config path = '/home/isaac/Documents/research/Reinforcement-Learning/HDRL/ml-agents/training-envs-executables/linux/SoccerTwos/SoccerTwos_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+Initialize engine version: 2021.3.14f1 (eee1884e7226)
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+Forcing GfxDevice: Null
+GfxDevice: creating device client; threaded=0; jobified=0
+NullGfxDevice:
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+    Renderer: Null Device
+    Vendor:   Unity Technologies
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.049 seconds
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+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?
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+WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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+Registered Communicator in Agent.
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run_logs/training_status.json

@@ -0,0 +1,39 @@
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