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Browse files- .gitattributes +1 -0
- README.md +17 -0
- config.json +0 -0
- ppo-SpaceInvadersNoFrameskip-v4.zip +3 -0
- ppo-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version +1 -0
- ppo-SpaceInvadersNoFrameskip-v4/data +0 -0
- ppo-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth +3 -0
- ppo-SpaceInvadersNoFrameskip-v4/policy.pth +3 -0
- ppo-SpaceInvadersNoFrameskip-v4/pytorch_variables.pth +3 -0
- ppo-SpaceInvadersNoFrameskip-v4/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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tags:
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- SpaceInvadersNoFrameskip-v4
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---
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# **PPO** Agent playing **SpaceInvadersNoFrameskip-v4**
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This is a trained model of a **PPO** agent playing **SpaceInvadersNoFrameskip-v4** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Evaluation Results
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mean_reward=879.00 +/- 327.25983560467665
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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-SpaceInvadersNoFrameskip-v4.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:33be9281151ad1aead4c15a1e1cded2637b1f78de2c90d6dbb394ac61e5da52b
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size 20737775
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ppo-SpaceInvadersNoFrameskip-v4/_stable_baselines3_version
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1.4.0
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ppo-SpaceInvadersNoFrameskip-v4/data
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ppo-SpaceInvadersNoFrameskip-v4/policy.optimizer.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbd1de2ae0622dbe65d8a45e4d9307cfbd1c9ea54239af0d425792c7308f016b
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size 13508061
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ppo-SpaceInvadersNoFrameskip-v4/policy.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a8c351314630cec451588f3941f33019fb8bc4f8150cd82b2b2fa089a46dcb5
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size 6754881
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ppo-SpaceInvadersNoFrameskip-v4/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-SpaceInvadersNoFrameskip-v4/system_info.txt
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OS: Linux-5.13.0-39-generic-x86_64-with-glibc2.17 #44~20.04.1-Ubuntu SMP Thu Mar 24 16:43:35 UTC 2022
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Python: 3.8.13
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Stable-Baselines3: 1.4.0
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PyTorch: 1.11.0+cu102
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GPU Enabled: True
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Numpy: 1.22.1
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Gym: 0.19.0
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replay.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6b3d20ffd9931bc45d05fcbcc007e90f012722a5d3d45ebe459717cde397b94
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size 1108789
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results.json
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{"mean_reward": 879.0, "std_reward": 327.25983560467665, "is_deterministic": false, "n_eval_episodes": 10}
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