First commit
Browse files- .gitattributes +1 -0
- README.md +28 -0
- RecurrentPPO-CarRacing-v0.zip +3 -0
- RecurrentPPO-CarRacing-v0/_stable_baselines3_version +1 -0
- RecurrentPPO-CarRacing-v0/data +0 -0
- RecurrentPPO-CarRacing-v0/policy.optimizer.pth +3 -0
- RecurrentPPO-CarRacing-v0/policy.pth +3 -0
- RecurrentPPO-CarRacing-v0/pytorch_variables.pth +3 -0
- RecurrentPPO-CarRacing-v0/system_info.txt +7 -0
- config.json +0 -0
- replay.mp4 +3 -0
- results.json +1 -0
.gitattributes
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README.md
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---
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library_name: stable-baselines3
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tags:
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- CarRacing-v0
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: RecurrentPPO
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results:
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- metrics:
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- type: mean_reward
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value: 815.49 +/- 96.46
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name: mean_reward
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task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: CarRacing-v0
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type: CarRacing-v0
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---
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# **RecurrentPPO** Agent playing **CarRacing-v0**
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This is a trained model of a **RecurrentPPO** agent playing **CarRacing-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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RecurrentPPO-CarRacing-v0.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb9ea907925e69e22695ee7507acfd4b1583783fdd2df3ff8b612a0f3da80396
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size 12166422
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RecurrentPPO-CarRacing-v0/_stable_baselines3_version
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1.5.1a6
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RecurrentPPO-CarRacing-v0/data
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RecurrentPPO-CarRacing-v0/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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size 7961523
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RecurrentPPO-CarRacing-v0/policy.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc54bf4e90f2f1a374794467821fe4394fbcb06af9d11e3bb189a61563a5bf44
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size 3981676
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RecurrentPPO-CarRacing-v0/pytorch_variables.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
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size 431
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RecurrentPPO-CarRacing-v0/system_info.txt
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OS: Linux-5.13.0-40-generic-x86_64-with-debian-bullseye-sid #45~20.04.1-Ubuntu SMP Mon Apr 4 09:38:31 UTC 2022
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Python: 3.7.10
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Stable-Baselines3: 1.5.1a6
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PyTorch: 1.11.0
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GPU Enabled: False
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Numpy: 1.21.2
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Gym: 0.21.0
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config.json
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ade8529ab3a2440363923d3aba65a28755dd6cc0e4d9f960e6249801b59e784
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size 829361
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results.json
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{"mean_reward": 815.4887142, "std_reward": 96.45898497628285, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-13T22:25:20.361988"}
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