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📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
| Date | Stars |
|---|---|
| 2026-07-31 | 369 |
| 2026-08-01 | 369 |
| 2026-08-02 | 369 |
| 2026-08-06 | 369 |
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<p align="center"> <img src="overview.jpg" alt="Reinforcement Learning!" style="width=80%"> </p> > Welcome to our GitHub repository! This repository is dedicated to curating significant research papers in the field of **Reinforcement Learning (RL)** that have been accepted at top academic conferences such as **AAAI**, **IJCAI**, **NeurIPS**, **ICML**, **ICLR**, **ICRA**, **AAMAS** and more. We provide you with a convenient resource hub to help you stay updated on the latest developments in reinforcement learning, delve into research trends, and explore cutting-edge algorithms and methods. <p align='center'> <img src="https://img.shields.io/github/stars/Allenpandas/Reinforcement-Learning-Papers.svg"> <img src="https://img.shields.io/github/forks/Allenpandas/Reinforcement-Learning-Papers.svg"> <a href="README.zh-CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a> <a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a> <img src="https://img.shields.io/github/repo-size/Allenpandas/Reinforcement-Learning-Papers.svg"> <img src="https://img.shields.io/github/issues/Allenpandas/Reinforcement-Learning-Papers.svg"> <img src="https://img.shields.io/github/issues-pr/Allenpandas/Reinforcement-Learning-Papers.svg"> </p> ## News - 2023/11/12: I added the related repository. - 2023/8/19: I added papers accepted at AAMAS'23, IJCAI'23, ICRA'23, ICML'23,ICLR'23, AAAI'23, NeurIPS'22 etc - 2023/1/6: I created the repository. ## Contributing <p align="center"> <img src="./we-need-you.jpeg" alt="We Need You!"> </p> **Markdown format：** ``` - **Paper Name**. [[pdf](link)] [[code](link)] - Author 1, Author 2, and Author 3. *conference, year*. ``` Please help to contribute this list by contacting me or add [pull request](https://github.com/Allenpandas/Reinforcement-Learning-Papers/pulls). For any questions, feel free to contact me 📮. ## Table of Contents **Refine by Year:** - [2023 Conference Papers](./Refine-by-year/2023-Conference-Papers.md) - [2022 Conference Papers](./Refine-by-year/2022-Conference-Papers.md) - [2021 Conference Papers](./Refine-by-year/2021-Conference-Papers.md) - [2020 Conference Papers](./Refine-by-year/2020-Conference-Papers.md) - [2019 Conference Papers](./Refine-by-year/2019-Conference-Papers.md) - [2018 Conference Papers](./Refine-by-year/2018-Conference-Papers.md) - [2017 Conference Papers](./Refine-by-year/2017-Conference-Papers.md) **Refine by Theme:** - [1 Multi-Agent Reinforcement Learning (MARL)](#1-Multi-Agent-Reinforcement-Learning) - [2 Meta Reinforcement Learning (Meta RL)](#2-Meta-Reinforcement-Learning) - [3 Hierarchical Reinforcement Learning (HRL)](#3-Hierarchical-Reinforcement-Learning) - [4 Multi-Task Reinforcement Learning (Multi-Task RL)](#4-Multi-Task-Reinforcement-Learning) - [5 Offline Reinforcement Learning (Offline RL)](#5-Offline-Reinforcement-Learning) - [6 Inverse Reinforcement Learning (IRL)](#6-Inverse-Reinforcement-Learning) - [7 Reinforcement Learning with Large Language Models](#7-Reinforcement-Learning-with-Large-Language-Models) ### 1 Multi-Agent Reinforcement Learning - **Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning.** [[pdf](https://doi.org/10.1609/aaai.v37i7.25973)] - Jiechuan Jiang, Zongqing Lu. *AAAI 2023*. - **Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning.** [[pdf](https://doi.org/10.1609/aaai.v37i9.26240)] - Young Wu, Jeremy McMahan, Xiaojin Zhu, Qiaomin Xie. *AAAI 2023*. - **Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.** [[pdf](https://doi.org/10.1609/aaai.v37i9.26241)] - Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo. *AAAI 2023*. - **DeCOM: Decomposed Policy for Constrained Cooperative Multi-Agent Reinforcement Learning.** [[pdf](https://doi.org/10.1609/aaai.v37i9.26288)] - Zhaoxing Yang, Haiming Jin, Rong Ding, Haoyi Yo
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