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MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from
  Experience Replay Buffer

MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer

International Conference on Machine Learning (ICML), 2022
20 June 2022
Jeewon Jeon
Woojun Kim
Whiyoung Jung
Young-Jin Sung
ArXiv (abs)PDFHTML

Papers citing "MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer"

27 / 27 papers shown
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
Yiyuan Pan
Zhe Liu
Hesheng Wang
LRM
237
2
0
25 Sep 2025
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration
Chirayu Nimonkar
Shlok Shah
Catherine Ji
Benjamin Eysenbach
236
1
0
12 Sep 2025
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
Xuefei Wu
Xiao Yin
Yuanyang Zhu
Chunlin Chen
198
3
0
25 Jul 2025
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning
Shuai Han
Mehdi Dastani
Shihan Wang
292
0
0
13 May 2025
Boosting Offline Optimizers with Surrogate SensitivityInternational Conference on Machine Learning (ICML), 2025
Manh Cuong Dao
Phi Le Nguyen
Thao Nguyen Truong
Trong Nghia Hoang
OffRL
288
1
0
06 Mar 2025
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning
Woojun Kim
Katia Sycara
OffRL
443
1
0
30 Jan 2025
Choices are More Important than Efforts: LLM Enables Efficient
  Multi-Agent Exploration
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
395
12
0
03 Oct 2024
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance
  Performance and Efficiency
B2MAPO: A Batch-by-Batch Multi-Agent Policy Optimization to Balance Performance and Efficiency
Wenjing Zhang
Wei Zhang
Wenqing Hu
Yifan Wang
OffRL
305
0
0
21 Jul 2024
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical
  Environments
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments
Runfa Chen
Ling Wang
Yu Du
Tianrui Xue
Gang Hua
Jianwei Zhang
Wenbing Huang
OffRL
308
3
0
17 Jul 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning
Hyungho Na
IL-Chul Moon
243
4
0
30 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for
  Multi-agent Reinforcement Learning
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning
Xinran Li
Zifan Liu
Shibo Chen
Jun Zhang
264
10
0
28 May 2024
Imagine, Initialize, and Explore: An Effective Exploration Method in
  Multi-Agent Reinforcement Learning
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu
Lipeng Wan
Xinrui Yang
Zhuoran Chen
Xingyu Chen
Xuguang Lan
329
7
0
28 Feb 2024
Learning Communication Policies for Different Follower Behaviors in a
  Collaborative Reference Game
Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game
P. Sadler
Sherzod Hakimov
David Schlangen
266
1
0
07 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty
  Sharing
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang
Haobin Jiang
Zongqing Lu
327
9
0
03 Feb 2024
A Review of Cooperation in Multi-agent Learning
A Review of Cooperation in Multi-agent Learning
Yali Du
Joel Z Leibo
Usman Islam
Richard Willis
P. Sunehag
297
50
0
08 Dec 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value
  Factorization
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value FactorizationNeural Information Processing Systems (NeurIPS), 2023
Siqi Shen
Chennan Ma
Chao Li
Weiquan Liu
Yongquan Fu
Songzhu Mei
Xinwang Liu
Cheng-Yu Wang
270
25
0
03 Nov 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
339
4
0
08 Sep 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning
FoX: Formation-aware exploration in multi-agent reinforcement learningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yonghyeon Jo
Sunwoo Lee
Junghyuk Yum
Seungyul Han
323
19
0
22 Aug 2023
Hierarchical Task Network Planning for Facilitating Cooperative
  Multi-Agent Reinforcement Learning
Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning
Xuechen Mu
H. Zhuo
Chong Chen
Kai Zhang
Chao Yu
Jianye Hao
249
2
0
14 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement
  Learning
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning
Wenhao Li
Dan Qiao
Baoxiang Wang
Xiangfeng Wang
Bo Jin
H. Zha
218
14
0
18 May 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
Xinyu Wang
253
0
0
16 Mar 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep
  Reinforcement Learning
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Woojun Kim
Young-Jin Sung
317
15
0
02 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for
  Multi-Agent Reinforcement Learning
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Woojun Kim
Whiyoung Jung
Myungsik Cho
Young-Jin Sung
187
11
0
01 Mar 2023
Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Learning Graph-Enhanced Commander-Executor for Multi-Agent NavigationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Xinyi Yang
Shiyu Huang
Yiwen Sun
Yuxiang Yang
Chao Yu
Weijuan Tu
Huazhong Yang
Yu Wang
168
11
0
08 Feb 2023
DIFFER: Decomposing Individual Reward for Fair Experience Replay in
  Multi-Agent Reinforcement Learning
DIFFER: Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Xu Hu
Jian Zhao
Wen-gang Zhou
Ruili Feng
Houqiang Li
231
1
0
25 Jan 2023
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Contrastive Identity-Aware Learning for Multi-Agent Value DecompositionAAAI Conference on Artificial Intelligence (AAAI), 2022
Shunyu Liu
Yihe Zhou
Mingli Song
Tongya Zheng
Kaixuan Chen
Tongtian Zhu
Zunlei Feng
Weilong Dai
290
38
0
23 Nov 2022
Entity Divider with Language Grounding in Multi-Agent Reinforcement
  Learning
Entity Divider with Language Grounding in Multi-Agent Reinforcement LearningInternational Conference on Machine Learning (ICML), 2022
Haobin Jiang
Wanpeng Zhang
Junpeng Yue
Xiangjun Wang
Tiejun Huang
Zongqing Lu
LLMAGAI4CE
136
6
0
25 Oct 2022
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