Upload PPO CarRacing-v0 trained agent
Browse files- .gitattributes +1 -0
- README.md +36 -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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*tfevents* filter=lfs diff=lfs merge=lfs -text
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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: -84.08 +/- 1.09
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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**
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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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```python
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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...
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```
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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 sha256:9adb69251779b2e4f6c618eaf2e7da4e6fc9bafdf4c5b48a8f2e28f72828d392
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size 29738665
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ppo-CarRacing-v0/_stable_baselines3_version
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1.6.0
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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 sha256:00bc0dfb9f949064f7591f8ea134cc7de3eb68378a880ccac45765c5be22e006
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size 19518156
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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:e0f91396e56ede89752a9beac8e40e32cc53662a18a7f40d2d6884e2912495e9
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size 9757938
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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-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
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Python: 3.7.13
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Stable-Baselines3: 1.6.0
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PyTorch: 1.12.0+cu113
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GPU Enabled: True
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Numpy: 1.21.6
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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 sha256:6e46f93558c0ad34a65fdc449b0eeece2d3501e1e53811844ef7dc932aafa7b3
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size 1287165
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results.json
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{"mean_reward": -84.08323130756617, "std_reward": 1.0894585401845926, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-14T13:32:37.991902"}
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