Influence-Based Multi-Agent Exploration

12 October 2019

Tonghan Wang

Papers citing "Influence-Based Multi-Agent Exploration"

37 / 37 papers shown

Title
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning Shuai Han Mehdi Dastani Shihan Wang 31 0 0 13 May 2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story Vincenzo De Paola Riccardo Zamboni Mirco Mutti Marcello Restelli 19 0 0 02 May 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 52 5 0 11 Aug 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning Junkai Zhang Yifan Zhang Xi Sheryl Zhang Yifan Zang Jian Cheng 41 4 0 26 Jun 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou Weizhe Hong Jonathan C. Kao 30 0 0 03 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 1 0 30 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning Xinran Li Zifan Liu Shibo Chen Jun Zhang 37 3 0 28 May 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning Maxime Toquebiau Nicolas Bredeche F. Benamar Jae-Yun Jun 36 1 0 06 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 41 3 0 27 Dec 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 35 5 0 22 Aug 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 35 0 0 05 Jul 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 41 5 0 18 May 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 29 7 0 01 Mar 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Bin Zhang Dapeng Li Guangchong Zhou Zeren Zhang Guoliang Fan 36 3 0 04 Feb 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary Environments Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 44 6 0 24 Jan 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 33 36 0 09 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 37 9 0 26 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 35 0 0 24 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 29 16 0 09 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 49 0 21 Sep 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 2022
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 25 28 0 04 Apr 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 28 50 0 08 Mar 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 22 9 0 24 Feb 2022
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 16 82 0 22 Nov 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 36 93 0 14 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 42 104 0 23 Jul 2021
RODE: Learning Roles to Decompose Multi-Agent Tasks Tonghan Wang Tarun Gupta Anuj Mahajan Bei Peng Shimon Whiteson Chongjie Zhang OffRL 30 39 0 04 Oct 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 51 437 0 03 Aug 2020
Off-Policy Multi-Agent Decomposed Policy Gradients Yihan Wang Beining Han Tonghan Wang Heng Dong Chongjie Zhang 35 174 0 24 Jul 2020
The Emergence of Individuality Jiechuan Jiang Zongqing Lu 26 34 0 10 Jun 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 31 32 0 31 May 2020
A Sufficient Statistic for Influence in Structured Multiagent Environments F. Oliehoek Stefan J. Witwicki L. Kaelbling 17 23 0 22 Jul 2019