MADiff: Offline Multi-agent Learning with Diffusion Models

3 January 2025

Papers citing "MADiff: Offline Multi-agent Learning with Diffusion Models"

21 / 21 papers shown

Title
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion Jiawei Wang Xintao Yan Yao Mu Haowei Sun Zhong Cao Henry X. Liu 27 0 0 06 May 2025
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning Teng Pang Bingzheng Wang Guoqiang Wu Yilong Yin OffRL 57 0 0 03 Mar 2025
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies Pedro Sequeira Vidyasagar Sadhu Melinda Gervasio DiffM 79 0 0 25 Feb 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 84 0 0 30 Jan 2025
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay Feng Chen Fuguang Han Cong Guan Lei Yuan Zhilong Zhang Yang Yu Zongzhang Zhang 25 0 0 16 Nov 2024
CPIG: Leveraging Consistency Policy with Intention Guidance for Multi-agent Exploration Y. Fu Yuanheng Zhu Haoran Li Zijie Zhao Jiajun Chai Dongbin Zhao 27 0 0 06 Nov 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data Hanyang Chen Yang Jiang S. Guo Xiaowei Mao Youfang Lin Huaiyu Wan 30 1 0 30 Oct 2024
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration Hai Zhong Xun Wang Zhuoran Li Longbo Huang OffRL OnRL 22 0 0 25 Oct 2024
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces Jifeng Hu Sili Huang Li Shen Zhejian Yang Shengchao Hu Shisong Tang H. Chen Yi-Ju Chang Dacheng Tao Lichao Sun OffRL 19 0 0 21 Oct 2024
Off-dynamics Conditional Diffusion Planners Wen Zheng Terence Ng Jianda Chen Tianwei Zhang DiffM OffRL 30 0 0 16 Oct 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning Claude Formanek Louise Beyers C. Tilbury Jonathan P. Shock Arnu Pretorius OffRL 20 0 0 18 Sep 2024
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning Jihwan Oh Sungnyun Kim Gahee Kim Sunghwan Kim Se-Young Yun OffRL 39 0 0 23 Aug 2024
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning Liyuan Mao Haoran Xu Weinan Zhang Xianyuan Zhan Amy Zhang OffRL 23 5 0 29 Jul 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation Claude Formanek C. Tilbury Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 26 1 0 13 Jun 2024
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models Zeyu Fang Tian Lan OffRL 23 1 0 30 May 2024
Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning Hanye Zhao Xiaoshen Han Zhengbang Zhu Minghuan Liu Yong Yu Weinan Zhang OffRL 24 0 0 29 May 2024
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree Lang Feng Pengjie Gu Bo An Gang Pan 22 2 0 28 May 2024
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong Jianye Hao Yifu Yuan Fei Ni Yitian Wang Pengyi Li Yan Zheng 52 14 0 27 Jan 2024
Diffusion Models for Multi-target Adversarial Tracking Sean Ye Manisha Natarajan Zixuan Wu Matthew C. Gombolay DiffM 23 3 0 12 Jul 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning Claude Formanek Asad Jeewa Jonathan P. Shock Arnu Pretorius OffRL 22 1 0 01 Feb 2023
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 193 381 0 20 May 2022