Commit
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upload carracing agent
Browse files- README.md +37 -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 +0 -0
- results.json +1 -0
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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- 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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metrics:
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- type: mean_reward
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value: 231.54 +/- 229.22
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name: mean_reward
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verified: false
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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 sha256:1d5215cead0a5b3c39cf8390ab09143ca2b0c31e291289f5376cbf1dc7d113be
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size 26584626
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ppo-CarRacing-v0/_stable_baselines3_version
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1.6.2
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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 sha256:69d7e2043aedc14c70cf2a99cdc59e177fd62652bd9bec059aa75401254c3333
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size 17415536
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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 sha256:2ed63836fa14c0cec4e11ad3ee48e783af6b8f93f00a9a9e3365c6582f36dbf1
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size 8707070
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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-5.10.133+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Fri Aug 26 08:44:51 UTC 2022
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Python: 3.7.15
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Stable-Baselines3: 1.6.2
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PyTorch: 1.12.1+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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Binary file (389 kB). View file
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results.json
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{"mean_reward": 231.53719256669282, "std_reward": 229.22071376105038, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-10-18T19:28:12.140926"}
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