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  • Tsinghua University
  • Beijing, China

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Codes accompanying the paper "Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery" (AAAI 2023)

Python 1 Updated Dec 6, 2023

Codes accompanying the paper "The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning" (ICLR 2023)

Python 2 1 Updated Dec 6, 2023

Codes accompanying the paper "On the Role of Discount Factor in Offline Reinforcement Learning" (ICML 2022)

Python 2 Updated Dec 6, 2023

Implementation of Value Iteration and Q-Learning algorithms to solve mazes.

Python 6 Updated Dec 2, 2018

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

999 91 Updated May 23, 2024

Codes accompanying the paper "Offline Reinforcement Learning with Value-Based Episodic Memory" (ICLR 2022 https://arxiv.org/abs/2110.09796)

Python 13 4 Updated Mar 9, 2022

Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)

Python 74 8 Updated Oct 18, 2022

Codes accompanying the paper "Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning" (AAMAS 2021 https://arxiv.org/abs/2102.06042)

Python 6 1 Updated Jun 24, 2021
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