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Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise
  Rollouts
v1v2v3 (latest)

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

International Joint Conference on Artificial Intelligence (IJCAI), 2021
7 May 2021
Weinan Zhang
Xihuai Wang
Jian Shen
Ming Zhou
ArXiv (abs)PDFHTML

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

22 / 22 papers shown
Title
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDLAI4CE
388
0
0
12 May 2025
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2025
Kun Hu
Muning Wen
Xinyu Wang
Shanghang Zhang
Yiwei Shi
Minne Li
Minglong Li
Ying Wen
165
2
0
23 Feb 2025
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite FlowAdaptive Agents and Multi-Agent Systems (AAMAS), 2024
Tonghan Wang
Heng Dong
Yanchen Jiang
David C. Parkes
Milind Tambe
DiffM
317
3
0
17 Oct 2024
Autonomous Goal Detection and Cessation in Reinforcement Learning: A
  Case Study on Source Term Estimation
Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term EstimationAAAI Conference on Artificial Intelligence (AAAI), 2024
Yiwei Shi
Muning Wen
Tao Gui
Weinan Zhang
Cunjia Liu
Weiru Liu
202
5
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
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
227
22
0
13 Sep 2024
Beyond Local Views: Global State Inference with Diffusion Models for
  Cooperative Multi-Agent Reinforcement Learning
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu
Hangyu Mao
Nianmin Zhang
Xin Xin
Sudipta Singha Roy
...
Bin Zhang
Guoliang Fan
Zhumin Chen
Changwei Wang
Jiangjin Yin
DiffM
204
3
0
18 Aug 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with
  Uncertainty-Aware Rollout Adaption
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
335
5
0
29 May 2024
Scalable Interactive Machine Learning for Future Command and Control
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
233
6
0
09 Feb 2024
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot
  Coordination
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot CoordinationNeural Information Processing Systems (NeurIPS), 2023
Xihuai Wang
Shao Zhang
Wenhao Zhang
Wentao Dong
Jingxiao Chen
Ying Wen
Weinan Zhang
245
18
0
08 Oct 2023
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
VDFD: Multi-Agent Value Decomposition Framework with Disentangled World Model
Zhizun Wang
David Meger
DRL
254
4
0
08 Sep 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
Nikunj Gupta
Somjit Nath
Samira Ebrahimi Kahou
159
2
0
19 Jun 2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning
  Coordination Problem
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination ProblemAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Paul Barde
Jakob N. Foerster
Derek Nowrouzezahrai
Amy Zhang
OffRL
203
16
0
26 May 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local
  Models in Model-Based Multi-Agent Reinforcement Learning
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Zifan Wu
Chao Yu
Chong Chen
Jianye Hao
H. Zhuo
128
14
0
31 Mar 2023
Model-Based Decentralized Policy Optimization
Model-Based Decentralized Policy Optimization
Hao Luo
Jiechuan Jiang
Zongqing Lu
241
1
0
16 Feb 2023
Multi-Agent Reinforcement Learning with Shared Resources for Inventory
  Management
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management
Yuandong Ding
Ming Feng
Guozi Liu
Wei Jiang
Wei Shen
Li Zhao
Lei Song
Houqiang Li
Yan Jin
Jiang Bian
188
18
0
15 Dec 2022
Scalable Model-based Policy Optimization for Decentralized Networked
  Systems
Scalable Model-based Policy Optimization for Decentralized Networked SystemsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Yali Du
Chengdong Ma
Yuchen Liu
Runji Lin
Hao Dong
Jun Wang
Yaodong Yang
218
12
0
13 Jul 2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Interaction Pattern Disentangling for Multi-Agent Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shunyu Liu
Mingli Song
Yihe Zhou
Na Yu
Kaixuan Chen
Zunlei Feng
Weilong Dai
302
16
0
08 Jul 2022
A Survey on Model-based Reinforcement Learning
A Survey on Model-based Reinforcement LearningScience China Information Sciences (Sci. China Inf. Sci.), 2022
Fan Luo
Tian Xu
Hang Lai
Xiong-Hui Chen
Weinan Zhang
Yang Yu
OffRLLRM
280
147
0
19 Jun 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent
  Reinforcement Learning
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Zhiwei Xu
Dapeng Li
Bin Zhang
Yuan Zhan
Yunru Bai
Guoliang Fan
OffRL
228
10
0
20 Apr 2022
Model-based Multi-agent Reinforcement Learning: Recent Progress and
  Prospects
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Xihuai Wang
Zhicheng Zhang
Weinan Zhang
238
34
0
20 Mar 2022
Robustness and sample complexity of model-based MARL for general-sum
  Markov games
Robustness and sample complexity of model-based MARL for general-sum Markov games
Jayakumar Subramanian
Amit Sinha
Aditya Mahajan
198
10
0
05 Oct 2021
Model-Based Opponent Modeling
Model-Based Opponent Modeling
Xiaopeng Yu
Jiechuan Jiang
Wanpeng Zhang
Haobin Jiang
Zongqing Lu
OffRL
238
38
0
04 Aug 2021
1