First push
Browse files- Goalie.onnx +3 -0
- Goalie/Goalie-1499980.onnx +3 -0
- Goalie/Goalie-1499980.pt +3 -0
- Goalie/Goalie-1807818.onnx +3 -0
- Goalie/Goalie-1807818.pt +3 -0
- Goalie/Goalie-499419.onnx +3 -0
- Goalie/Goalie-499419.pt +3 -0
- Goalie/Goalie-999974.onnx +3 -0
- Goalie/Goalie-999974.pt +3 -0
- Goalie/checkpoint.pt +3 -0
- Goalie/events.out.tfevents.1702974737.wkm0572l.17640.0 +3 -0
- README.md +35 -0
- Striker.onnx +3 -0
- Striker/Striker-1499979.onnx +3 -0
- Striker/Striker-1499979.pt +3 -0
- Striker/Striker-1802718.onnx +3 -0
- Striker/Striker-1802718.pt +3 -0
- Striker/Striker-499317.onnx +3 -0
- Striker/Striker-499317.pt +3 -0
- Striker/Striker-999985.onnx +3 -0
- Striker/Striker-999985.pt +3 -0
- Striker/checkpoint.pt +3 -0
- Striker/events.out.tfevents.1702974737.wkm0572l.17640.1 +3 -0
- config.json +1 -0
- configuration.yaml +132 -0
- run_logs/timers.json +611 -0
- run_logs/training_status.json +107 -0
Goalie.onnx
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Goalie/Goalie-1499980.onnx
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Goalie/Goalie-1499980.pt
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Goalie/Goalie-1807818.onnx
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Goalie/Goalie-1807818.pt
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Goalie/Goalie-499419.onnx
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Goalie/Goalie-499419.pt
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Goalie/Goalie-999974.onnx
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Goalie/Goalie-999974.pt
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Goalie/checkpoint.pt
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Goalie/events.out.tfevents.1702974737.wkm0572l.17640.0
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version https://git-lfs.github.com/spec/v1
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README.md
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---
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library_name: ml-agents
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tags:
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- Goalie
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- deep-reinforcement-learning
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- reinforcement-learning
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- ML-Agents-Goalie
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---
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# **poca** Agent playing **Goalie**
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This is a trained model of a **poca** agent playing **Goalie**
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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## Usage (with ML-Agents)
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The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
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We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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- A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
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browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
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- A *longer tutorial* to understand how works ML-Agents:
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https://huggingface.co/learn/deep-rl-course/unit5/introduction
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### Resume the training
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```bash
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mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
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```
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### Watch your Agent play
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You can watch your agent **playing directly in your browser**
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1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
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2. Step 1: Find your model_id: enaitzb/poca-SoccerTwos
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3. Step 2: Select your *.nn /*.onnx file
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4. Click on Watch the agent play 👀
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Striker.onnx
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Striker/Striker-1499979.onnx
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Striker/Striker-1499979.pt
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Striker/Striker-1802718.onnx
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Striker/Striker-499317.onnx
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Striker/Striker-499317.pt
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Striker/Striker-999985.onnx
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Striker/Striker-999985.pt
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Striker/checkpoint.pt
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Striker/events.out.tfevents.1702974737.wkm0572l.17640.1
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config.json
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{"default_settings": null, "behaviors": {"Goalie": {"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": 30000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 1000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}, "Striker": {"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": 30000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 4000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": null, "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": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Proba", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
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default_settings: null
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behaviors:
|
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Goalie:
|
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trainer_type: poca
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hyperparameters:
|
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batch_size: 2048
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buffer_size: 20480
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learning_rate: 0.0003
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beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: constant
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beta_schedule: constant
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epsilon_schedule: constant
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checkpoint_interval: 500000
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network_settings:
|
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normalize: false
|
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hidden_units: 512
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num_layers: 2
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vis_encode_type: simple
|
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memory: null
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goal_conditioning_type: hyper
|
24 |
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deterministic: false
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25 |
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reward_signals:
|
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extrinsic:
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gamma: 0.99
|
28 |
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strength: 1.0
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network_settings:
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normalize: false
|
31 |
+
hidden_units: 128
|
32 |
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num_layers: 2
|
33 |
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vis_encode_type: simple
|
34 |
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memory: null
|
35 |
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goal_conditioning_type: hyper
|
36 |
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deterministic: false
|
37 |
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init_path: null
|
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keep_checkpoints: 5
|
39 |
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even_checkpoints: false
|
40 |
+
max_steps: 30000000
|
41 |
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time_horizon: 1000
|
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summary_freq: 10000
|
43 |
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threaded: false
|
44 |
+
self_play:
|
45 |
+
save_steps: 50000
|
46 |
+
team_change: 200000
|
47 |
+
swap_steps: 1000
|
48 |
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window: 10
|
49 |
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play_against_latest_model_ratio: 0.5
|
50 |
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initial_elo: 1200.0
|
51 |
+
behavioral_cloning: null
|
52 |
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Striker:
|
53 |
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trainer_type: poca
|
54 |
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hyperparameters:
|
55 |
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batch_size: 2048
|
56 |
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buffer_size: 20480
|
57 |
+
learning_rate: 0.0003
|
58 |
+
beta: 0.005
|
59 |
+
epsilon: 0.2
|
60 |
+
lambd: 0.95
|
61 |
+
num_epoch: 3
|
62 |
+
learning_rate_schedule: constant
|
63 |
+
beta_schedule: constant
|
64 |
+
epsilon_schedule: constant
|
65 |
+
checkpoint_interval: 500000
|
66 |
+
network_settings:
|
67 |
+
normalize: false
|
68 |
+
hidden_units: 512
|
69 |
+
num_layers: 2
|
70 |
+
vis_encode_type: simple
|
71 |
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memory: null
|
72 |
+
goal_conditioning_type: hyper
|
73 |
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deterministic: false
|
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reward_signals:
|
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extrinsic:
|
76 |
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gamma: 0.99
|
77 |
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strength: 1.0
|
78 |
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network_settings:
|
79 |
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goal_conditioning_type: hyper
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|
89 |
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|
90 |
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|
91 |
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summary_freq: 10000
|
92 |
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threaded: false
|
93 |
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self_play:
|
94 |
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save_steps: 50000
|
95 |
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team_change: 200000
|
96 |
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swap_steps: 4000
|
97 |
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window: 10
|
98 |
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play_against_latest_model_ratio: 0.5
|
99 |
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initial_elo: 1200.0
|
100 |
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behavioral_cloning: null
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101 |
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env_settings:
|
102 |
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env_path: null
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103 |
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env_args: null
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104 |
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base_port: 5005
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105 |
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num_envs: 1
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106 |
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num_areas: 1
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107 |
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timeout_wait: 60
|
108 |
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seed: -1
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109 |
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max_lifetime_restarts: 10
|
110 |
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restarts_rate_limit_n: 1
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111 |
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restarts_rate_limit_period_s: 60
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112 |
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engine_settings:
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113 |
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width: 84
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114 |
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height: 84
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115 |
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quality_level: 5
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116 |
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time_scale: 20
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117 |
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target_frame_rate: -1
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118 |
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capture_frame_rate: 60
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119 |
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no_graphics: false
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environment_parameters: null
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checkpoint_settings:
|
122 |
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run_id: Proba
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initialize_from: null
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inference: false
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129 |
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results_dir: results
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130 |
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torch_settings:
|
131 |
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device: null
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132 |
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debug: false
|
run_logs/timers.json
ADDED
@@ -0,0 +1,611 @@
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run_logs/training_status.json
ADDED
@@ -0,0 +1,107 @@
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