https://github.com/kengz/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
https://github.com/kengz/SLM-Lab
a2c a3c benchmark deep-reinforcement-learning dqn policy-gradient ppo pytorch reinforcement-learning sac
Last synced: 6 months ago
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Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
- Host: GitHub
- URL: https://github.com/kengz/SLM-Lab
- Owner: kengz
- License: mit
- Created: 2017-10-02T22:20:22.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2025-02-16T01:19:34.000Z (8 months ago)
- Last Synced: 2025-03-31T17:06:49.561Z (6 months ago)
- Topics: a2c, a3c, benchmark, deep-reinforcement-learning, dqn, policy-gradient, ppo, pytorch, reinforcement-learning, sac
- Language: Python
- Homepage: https://slm-lab.gitbook.io/slm-lab/
- Size: 4.08 MB
- Stars: 1,276
- Watchers: 46
- Forks: 274
- Open Issues: 16
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
# SLM Lab
  [](https://codeclimate.com/github/kengz/SLM-Lab/maintainability) [](https://codeclimate.com/github/kengz/SLM-Lab/test_coverage)
Modular Deep Reinforcement Learning framework in PyTorch.
Documentation:
https://slm-lab.gitbook.io/slm-lab/
>NOTE: the `book` branch has been updated for issue fixes. For the original code in the book _Foundations of Deep Reinforcement Learning_, check out to git tag `v4.1.1`
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| BeamRider | Breakout | KungFuMaster | MsPacman |
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| Pong | Qbert | Seaquest | Sp.Invaders |
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| Ant | HalfCheetah | Hopper | Humanoid |
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| Inv.DoublePendulum | InvertedPendulum | Reacher | Walker |