first try
Browse files- .gitattributes +1 -0
- README.md +28 -0
- config.json +0 -0
- ppo-CarRacing-v0.zip +3 -0
- ppo-CarRacing-v0/_stable_baselines3_version +1 -0
- ppo-CarRacing-v0/data +0 -0
- ppo-CarRacing-v0/policy.optimizer.pth +3 -0
- ppo-CarRacing-v0/policy.pth +3 -0
- ppo-CarRacing-v0/pytorch_variables.pth +3 -0
- ppo-CarRacing-v0/system_info.txt +7 -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: PPO
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results:
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- metrics:
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- type: mean_reward
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value: 804.47 +/- 114.54
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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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# **PPO** Agent playing **CarRacing-v0**
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This is a trained model of a **PPO** 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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config.json
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ppo-CarRacing-v0.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:cded743796ca1ce75e5f443c55fa14fe7455ea96bfd8aa6ec793415b3288326e
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size 26599906
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ppo-CarRacing-v0/_stable_baselines3_version
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1.5.0
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ppo-CarRacing-v0/data
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ppo-CarRacing-v0/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec0d029b873374958d4b7afa685d9de850bab0e049f401bbe3da9967cc2b5aac
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size 17424599
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ppo-CarRacing-v0/policy.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3cecca2479011a7c3978125e3174507d5711fe27334c716aa88d470fec30e44
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size 8713150
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ppo-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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ppo-CarRacing-v0/system_info.txt
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OS: Linux-5.11.0-38-generic-x86_64-with-glibc2.31 #42~20.04.1-Ubuntu SMP Tue Sep 28 20:41:07 UTC 2021
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Python: 3.9.12
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Stable-Baselines3: 1.5.0
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PyTorch: 1.11.0+cu102
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GPU Enabled: True
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Numpy: 1.22.3
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Gym: 0.21.0
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fab624af13e3fc97799487d98658f00c46b8c83d4baceadb3f7f8aaf2b32aa3
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size 815840
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results.json
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{"mean_reward": 804.4736004687845, "std_reward": 114.54456493864059, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-05-15T09:19:45.168671"}
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