awesome-offline-rl
by hanjuku-kaso
awesome listpushed over 2 years ago
An index of algorithms for offline reinforcement learning (offline-rl)
AI summary
Offline RL Index
An index of research papers and review articles on the field of offline reinforcement learning algorithms
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What's in the list
1,177 links in 22 sections, with live GitHub stats.activeno commit in 2y
Links
- Haruka Kiyohara
(Cornell University)
- Yuta Saito
(Hanjuku-kaso Co., Ltd. / Cornell University)
Table of Contents
Table of Contents / Papers
Table of Contents / Papers / Review/Survey/Position Papers
Table of Contents / Papers
Table of Contents / Papers / Off-Policy Evaluation and Learning: Theory/Methods
Table of Contents / Papers
Table of Contents
Table of Contents / Blog/Podcast
Table of Contents
Papers / Review/Survey/Position Papers
Papers / Offline RL: Theory/Methods
Papers / Offline RL: Benchmarks/Experiments
Papers / Offline RL: Applications
Papers / Off-Policy Evaluation and Learning: Theory/Methods
Papers / Off-Policy Evaluation and Learning: Benchmarks/Experiments
Papers / Off-Policy Evaluation and Learning: Applications
Open Source Software/Implementations
SCOPE-RL: A Python library for offline reinforcement learning, off-policy evaluation, and selection
Open Bandit Pipeline: a research framework for bandit algorithms and off-policy evaluation
pyIEOE: Towards An Interpretable Evaluation for Offline Evaluation
d3rlpy: An Offline Deep Reinforcement Learning Library
Minari
CORL: Clean Offline Reinforcement Learning
COBS: Caltech OPE Benchmarking Suite
Benchmarks for Deep Off-Policy Evaluation
RL Unplugged: Benchmarks for Offline Reinforcement Learning
V-D4RL: Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
OEF: Offline Equilibrium Finding
ExORL: Exploratory Data for Offline Reinforcement Learning
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System
The Industrial Benchmark Offline RL Datasets
ARLO: A Framework for Automated Reinforcement Learning
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces
A Reinforcement Learning-based Volt-VAR Control DatasetBlog/Podcast / Blog
Blog/Podcast / Podcast
Related Workshops
Tutorials/Talks/Lectures
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