Title
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The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research Runsheng Xu Hao Xiang Xu Han Xin Xia Zonglin Meng Chia-Ju Chen Jiaqi Ma 28 65 0 18 Jan 2023
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Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving Haochen Liu Zhiyu Huang Xiaoyu Mo Chen Lv ViT OffRL 30 33 0 24 Aug 2022
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An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility Lukas M. Schmidt Johanna Brosig Axel Plinge Bjoern M. Eskofier Christopher Mutschler 30 33 0 15 Mar 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization Minghuan Liu Zhengbang Zhu Yuzheng Zhuang Weinan Zhang Jianye Hao Yong Yu J. Wang 27 11 0 04 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning Zehao Dou J. Kuba Yaodong Yang FAtt 14 5 0 10 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective Wenhao Ding Chejian Xu Mansur Arief Hao-ming Lin Bo-wen Li Ding Zhao 30 143 0 04 Feb 2022
Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks Linghui Meng Muning Wen Yaodong Yang Chenyang Le Xiyun Li Weinan Zhang Ying Wen Haifeng Zhang Jun Wang Bo Xu OffRL 26 38 0 06 Dec 2021
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A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies J. Blumenkamp Steven D. Morad Jennifer Gielis Qingbiao Li Amanda Prorok 24 47 0 02 Nov 2021
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Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 98 49 0 06 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning Quanyi Li Zhenghao Peng Lan Feng Qihang Zhang Zhenghai Xue Bolei Zhou 39 230 0 26 Sep 2021
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios Yuqi Liu Qichao Zhang Dongbin Zhao OffRL 75 13 0 22 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 21 58 0 19 Aug 2021
DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks Peide Cai Hengli Wang Yuxiang Sun Ming-Yu Liu GNN 32 39 0 11 Aug 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 36 11 0 12 Jun 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 37 84 0 03 May 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 17 132 0 19 Mar 2021
Modelling Behavioural Diversity for Learning in Open-Ended Games Nicolas Perez Nieves Yaodong Yang Oliver Slumbers D. Mguni Ying Wen Jun Wang 22 67 0 14 Mar 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 16 15 0 18 Jan 2021
BARK: Open Behavior Benchmarking in Multi-Agent Environments Julian Bernhard Klemens Esterle Patrick Hart Tobias Kessler 90 41 0 05 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 135 355 0 16 Oct 2019
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