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  1. BigWallJump.onnx +3 -0
  2. BigWallJump/BigWallJump-18499991.onnx +3 -0
  3. BigWallJump/BigWallJump-18499991.pt +3 -0
  4. BigWallJump/BigWallJump-18999986.onnx +3 -0
  5. BigWallJump/BigWallJump-18999986.pt +3 -0
  6. BigWallJump/BigWallJump-19499996.onnx +3 -0
  7. BigWallJump/BigWallJump-19499996.pt +3 -0
  8. BigWallJump/BigWallJump-19999998.onnx +3 -0
  9. BigWallJump/BigWallJump-19999998.pt +3 -0
  10. BigWallJump/BigWallJump-20000020.onnx +3 -0
  11. BigWallJump/BigWallJump-20000020.pt +3 -0
  12. BigWallJump/BigWallJump-24803.onnx +3 -0
  13. BigWallJump/BigWallJump-24803.pt +3 -0
  14. BigWallJump/BigWallJump-39339.onnx +3 -0
  15. BigWallJump/BigWallJump-39339.pt +3 -0
  16. BigWallJump/checkpoint.pt +3 -0
  17. BigWallJump/events.out.tfevents.1693677309.yaohua-NUC12DCMi7.122030.1 +3 -0
  18. README.md +35 -0
  19. SmallWallJump.onnx +3 -0
  20. SmallWallJump/SmallWallJump-17209.onnx +3 -0
  21. SmallWallJump/SmallWallJump-17209.pt +3 -0
  22. SmallWallJump/SmallWallJump-17576.onnx +3 -0
  23. SmallWallJump/SmallWallJump-17576.pt +3 -0
  24. SmallWallJump/SmallWallJump-3999997.onnx +3 -0
  25. SmallWallJump/SmallWallJump-3999997.pt +3 -0
  26. SmallWallJump/SmallWallJump-4499998.onnx +3 -0
  27. SmallWallJump/SmallWallJump-4499998.pt +3 -0
  28. SmallWallJump/SmallWallJump-4999999.onnx +3 -0
  29. SmallWallJump/SmallWallJump-4999999.pt +3 -0
  30. SmallWallJump/SmallWallJump-5499990.onnx +3 -0
  31. SmallWallJump/SmallWallJump-5499990.pt +3 -0
  32. SmallWallJump/SmallWallJump-5556184.onnx +3 -0
  33. SmallWallJump/SmallWallJump-5556184.pt +3 -0
  34. SmallWallJump/checkpoint.pt +3 -0
  35. SmallWallJump/events.out.tfevents.1693677307.yaohua-NUC12DCMi7.122030.0 +3 -0
  36. config.json +1 -0
  37. configuration.yaml +121 -0
  38. run_logs/timers.json +506 -0
  39. run_logs/training_status.json +123 -0
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+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - BigWallJump
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+ - deep-reinforcement-learning
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+ - reinforcement-learning
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+ - ML-Agents-BigWallJump
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+ ---
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+
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+ # **ppo** Agent playing **BigWallJump**
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+ This is a trained model of a **ppo** agent playing **BigWallJump**
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+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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+
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+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
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+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
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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: yaohuacn/walljump_test_02
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
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+ default_settings: null
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+ behaviors:
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+ BigWallJump:
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+ trainer_type: ppo
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+ hyperparameters:
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+ batch_size: 1024
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+ buffer_size: 4096
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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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+ shared_critic: false
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+ learning_rate_schedule: linear
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+ beta_schedule: linear
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+ epsilon_schedule: linear
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+ checkpoint_interval: 500000
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+ network_settings:
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+ normalize: false
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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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+ SmallWallJump:
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+ trainer_type: ppo
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+ hyperparameters:
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+ buffer_size: 4096
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+ learning_rate: 0.0003
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+ beta: 0.005
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+ num_epoch: 3
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+ network_settings:
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+ height: 84
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