Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts

7 May 2021

Papers citing "Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts"

23 / 23 papers shown

Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning Kun Hu Muning Wen Xinyu Wang S. Zhang Yiwei Shi Minne Li Minglong Li Ying Wen 42 0 0 23 Feb 2025
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 47 2 0 17 Oct 2024
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation Yiwei Shi Muning Wen Qi Zhang Weinan Zhang Cunjia Liu Weiru Liu 35 2 0 14 Sep 2024
Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task Shao Zhang Xihuai Wang Wenhao Zhang Yongshan Chen Landi Gao Dakuo Wang Weinan Zhang Xinbing Wang Ying Wen LLMAG 40 9 0 13 Sep 2024
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Hangyu Mao Nianmin Zhang Xin Xin Pengjie Ren ... Bin Zhang Guoliang Fan Zhumin Chen Changwei Wang Jiangjin Yin DiffM 22 1 0 18 Aug 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption Bernd Frauenknecht Artur Eisele Devdutt Subhasish Friedrich Solowjow Sebastian Trimpe 49 5 0 29 May 2024
Scalable Interactive Machine Learning for Future Command and Control Anna Madison Ellen R. Novoseller Vinicius G. Goecks Benjamin T. Files Nicholas R. Waytowich Alfred Yu Vernon J. Lawhern Steven Thurman Christopher Kelshaw Kaleb McDowell 35 4 0 09 Feb 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 28 8 0 08 Oct 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning Zhizun Wang D. Meger DRL 17 1 0 08 Sep 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning Nikunj Gupta Somjit Nath Samira Ebrahimi Kahou 20 0 0 19 Jun 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem Paul Barde Jakob N. Foerster Derek Nowrouzezahrai Amy Zhang OffRL 22 8 0 26 May 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning Zifan Wu Chao Yu Cheng Chen Jianye Hao H. Zhuo 34 9 0 31 Mar 2023
Model-Based Decentralized Policy Optimization Hao Luo Jiechuan Jiang Zongqing Lu 19 0 0 16 Feb 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 32 16 0 15 Dec 2022
Scalable Model-based Policy Optimization for Decentralized Networked Systems Yali Du Chengdong Ma Yuchen Liu Runji Lin Hao Dong Jun Wang Yaodong Yang 31 8 0 13 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning Shunyu Liu Jie Song Yihe Zhou Na Yu Kaixuan Chen Zunlei Feng Mingli Song 26 7 0 08 Jul 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Dapeng Li Bin Zhang Yuan Zhan Yunru Bai Guoliang Fan OffRL 27 6 0 20 Apr 2022
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects Xihuai Wang Zhicheng Zhang Weinan Zhang 13 25 0 20 Mar 2022
Robustness and sample complexity of model-based MARL for general-sum Markov games Jayakumar Subramanian Amit Sinha Aditya Mahajan 27 8 0 05 Oct 2021
Model-Based Opponent Modeling Xiaopeng Yu Jiechuan Jiang Wanpeng Zhang Haobin Jiang Zongqing Lu OffRL 27 28 0 04 Aug 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016