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An index of algorithms for offline reinforcement learning (offline-rl)

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awesome-offline-rl

This is a collection of research and review papers for offline reinforcement learning (offline rl). Feel free to star and fork.

Maintainers:

  • Haruka Kiyohara (Tokyo Institute of Technology / Hanjuku-kaso Co., Ltd.)
  • Yuta Saito (Hanjuku-kaso Co., Ltd. / Cornell University)

We are looking for more contributors and maintainers! Please feel free to pull requests.

format:
- [title](paper link) [links]
  - author1, author2, and author3. arXiv/conferences/journals/, year.

For any question, feel free to contact: saito@hanjuku-kaso.com

Table of Contents

Papers

Review Papers

Position Papers

Offline RL: Theory/Methods

Offline RL: Benchmarks/Experiments/Applications

Off-Policy Evaluation: Theory/Methods

Contextual Bandits

Reinforcement Learning

Off-Policy Evaluation: Benchmarks/Experiments/Applications

Open Source Software/Implementations

Blog/Podcast

Blog

Podcast

Related Workshops

Tutorials/Talks/Lectures

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An index of algorithms for offline reinforcement learning (offline-rl)

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