NEURIPS 2025 "multi-agent reinforcement learning" Papers

17 papers found

Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning

Wenchang Duan, Yaoliang Yu, Jiwan He et al.

NEURIPS 2025oralarXiv:2510.26389

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning

Anjie Liu, Jianhong Wang, Samuel Kaski et al.

NEURIPS 2025posterarXiv:2510.17697

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning

Simin Li, Zihao Mao, Hanxiao Li et al.

NEURIPS 2025posterarXiv:2510.11824

High-order Interactions Modeling for Interpretable Multi-Agent Q-Learning

Qinyu Xu, Yuanyang Zhu, Xuefei Wu et al.

NEURIPS 2025posterarXiv:2510.20218
1
citations

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning

Yiqun Chen, Lingyong Yan, Weiwei Sun et al.

NEURIPS 2025posterarXiv:2501.15228
27
citations

LOPT: Learning Optimal Pigovian Tax in Sequential Social Dilemmas

Yun Hua, Shang Gao, Wenhao Li et al.

NEURIPS 2025poster

MACS: Multi-Agent Reinforcement Learning for Optimization of Crystal Structures

Elena Zamaraeva, Christopher Collins, George Darling et al.

NEURIPS 2025posterarXiv:2506.04195
1
citations

MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning

Sizhe Tang, Jiayu Chen, Tian Lan

NEURIPS 2025posterarXiv:2511.06142
1
citations

Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning

Emile Anand, Ishani Karmarkar, Guannan Qu

NEURIPS 2025spotlightarXiv:2412.00661
4
citations

MOSDT: Self-Distillation-Based Decision Transformer for Multi-Agent Offline Safe Reinforcement Learning

Yuchen Xia, Yunjian Xu

NEURIPS 2025poster

Multi-Agent Reinforcement Learning with Communication-Constrained Priors

Guang Yang, Jingwen Qiao, Tianpei Yang et al.

NEURIPS 2025posterarXiv:2512.03528

OPHR: Mastering Volatility Trading with Multi-Agent Deep Reinforcement Learning

Zeting Chen, Xinyu Cai, Molei Qin et al.

NEURIPS 2025poster

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays

Songchen Fu, Siang Chen, Shaojing Zhao et al.

NEURIPS 2025poster

ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning

Ziyu Wan, Yunxiang Li, Xiaoyu Wen et al.

NEURIPS 2025posterarXiv:2503.09501
36
citations

Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective

Yang Zhang, Xinran Li, Jianing Ye et al.

NEURIPS 2025posterarXiv:2505.20922
4
citations

Sequential Multi-Agent Dynamic Algorithm Configuration

Chen Lu, Ke Xue, Lei Yuan et al.

NEURIPS 2025posterarXiv:2510.23535
1
citations

Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration

Yiyuan Pan, Zhe Liu, Hesheng Wang

NEURIPS 2025posterarXiv:2509.20648