Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

7 June 2020

Shariq Iqbal

Christian Schroeder de Witt

Papers citing "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning"

32 / 32 papers shown

Title
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation Sicong Liu Yang Shu Chenjuan Guo Bin Yang OffRL 58 3 0 27 Mar 2025
CORD: Generalizable Cooperation via Role Diversity Kanefumi Matsuyama Kefan Su Jiangxing Wang Deheng Ye Zongqing Lu 40 0 0 04 Jan 2025
FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL Woosung Koh Wonbeen Oh S. Kim Suhin Shin Hyeongjin Kim Jaein Jang Junghyun Lee Se-Young Yun 32 0 0 21 Oct 2024
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration Yun Qu Boyuan Wang Yuhang Jiang Jianzhun Shao Yixiu Mao Cheems Wang Chang Liu Xiangyang Ji 46 4 0 03 Oct 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning Wei Duan Jie Lu Junyu Xuan 38 6 0 17 Apr 2024
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search Weizhe Chen Sven Koenig B. Dilkina 39 0 0 03 Apr 2024
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization Siqi Shen Chennan Ma Chao Li Weiquan Liu Yongquan Fu Songzhu Mei Xinwang Liu Cheng-Yu Wang 17 10 0 03 Nov 2023
Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning Jingqing Ruan Xiaotian Hao D. Li Hangyu Mao 27 5 0 28 Jul 2023
Progression Cognition Reinforcement Learning with Prioritized Experience for Multi-Vehicle Pursuit Xinhang Li Yiying Yang Zheng Yuan Zhe Wang Qinwen Wang Chen Xu Lei Li Jianhua He Lin Zhang 20 2 0 08 Jun 2023
Multi-agent Continual Coordination via Progressive Task Contextualization Lei Yuan Lihe Li Ziqian Zhang Fuxiang Zhang Cong Guan Yang Yu CLL 39 7 0 07 May 2023
$N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning$ N $\text{A}^\text{2}$ Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning Zichuan Liu Yuanyang Zhu Chunlin Chen 45 10 0 26 Apr 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning R. Wang Longtao Zheng Wei Qiu Bowei He Bo An Zinovi Rabinovich Yujing Hu Yingfeng Chen Tangjie Lv Changjie Fan 33 1 0 07 Feb 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability Thomy Phan Fabian Ritz Philipp Altmann Maximilian Zorn Jonas Nusslein Michael Kolle Thomas Gabor Claudia Linnhoff-Popien 22 12 0 04 Jan 2023
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 19 83 0 14 Dec 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning S. Rezaei-Shoshtari Charlotte Morissette F. Hogan Gregory Dudek D. Meger OffRL 17 14 0 28 Nov 2022
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents Xuting Tang Jia Xu Shusen Wang 22 1 0 04 Aug 2022
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework Jianing Ye Chenghao Li Jianhao Wang Chongjie Zhang 39 2 0 12 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
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions Mingyu Kim Ji-Yun Oh Yongsik Lee Joonkee Kim S. Kim Song Chong Se-Young Yun 16 2 0 05 Jul 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning? Shuang Luo Yinchuan Li Jiahui Li Kun Kuang Furui Liu Yunfeng Shao Chao-Xiang Wu OffRL 21 6 0 20 Jun 2022
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning Mingyu Yang Jian Zhao Xu Hu Wen-gang Zhou Jiangcheng Zhu Houqiang Li 17 30 0 05 May 2022
Multi-Agent Policy Transfer via Task Relationship Modeling Rongjun Qin F. Chen Tonghan Wang Lei Yuan Xiaoran Wu Zongzhang Zhang Chongjie Zhang Yang Yu 35 19 0 09 Mar 2022
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment Diogo S. Carvalho B. Sengupta 25 2 0 06 Mar 2022
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning Hon Tik Tse Hofung Leung 22 1 0 26 Jan 2022
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module Wei-Cheng Tseng Wei Wei Da-Cheng Juan Min Sun 36 2 0 14 Dec 2021
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 21 33 0 10 Nov 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 21 7 0 30 Aug 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chengjie Wu Qianchuan Zhao Jun Yang Chongjie Zhang 29 136 0 04 Jun 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 10 13 0 01 Mar 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 55 210 0 18 Mar 2020
"Other-Play" for Zero-Shot Coordination Hengyuan Hu Adam Lerer A. Peysakhovich Jakob N. Foerster VLM OffRL 136 218 0 06 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 140 355 0 16 Oct 2019