Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration

Neural Information Processing Systems (NeurIPS), 2021

22 November 2021

Changjie Fan

Papers citing "Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration"

46 / 46 papers shown

Title
Extending NGU to Multi-Agent RL: A Preliminary Study Juan Hernandez Diego Fernández Manuel Cifuentes Denis Parra Rodrigo Toro Icarte 8 0 0 01 Dec 2025
HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Zejiao Liu Junqi Tu Yitian Hong Luolin Xiong Yaochu Jin Yang Tang F. Li 28 0 0 15 Nov 2025
A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning Anjie Liu Jianhong Wang Samuel Kaski Jun Wang M. Yang 224 0 0 20 Oct 2025
Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning Viet The Bui Tien Mai Hong Thanh Nguyen OffRL 136 1 0 26 Sep 2025
Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration Yiyuan Pan Zhe Liu Hesheng Wang LRM 139 0 0 25 Sep 2025
Centralized Permutation Equivariant Policy for Cooperative Multi-Agent Reinforcement Learning Zhuofan Xu B. Bollig Matthias Függer Thomas Nowak Vincent Le Dréau OffRL 44 0 0 13 Aug 2025
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies Nicholas Corrado Josiah P. Hanna 112 0 0 01 Aug 2025
Curriculum Learning With Counterfactual Group Relative Policy Advantage For Multi-Agent Reinforcement Learning Weiqiang Jin Hongyang Du Guizhong Liu Dong In Kim 146 0 0 09 Jun 2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Andreas Kontogiannis Konstantinos Papathanasiou Yi Shen Giorgos Stamou Michael M. Zavlanos G. Vouros 295 0 0 08 May 2025
TinyMA-IEI-PPO: Exploration Incentive-Driven Multi-Agent DRL with Self-Adaptive Pruning for Vehicular Embodied AI Agent Twins Migration Zhuoqi Zeng Yuxiang Wei Jiawen Kang 227 0 0 30 Apr 2025
Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy Aditya Vatsavai Ganesh Narasimha Yongtao Liu Jan-Chi Yang Hiroshu Funakubo Hiroshi Funakubo M. Ziatdinov Rama K Vasudevan 230 1 0 28 Apr 2025
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 257 0 0 23 Mar 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 215 1 0 06 Mar 2025
Grounded Answers for Multi-agent Decision-making Problem through Generative World ModelNeural Information Processing Systems (NeurIPS), 2024 Zeyang Liu Xinrui Yang Shiguang Sun Long Qian Lipeng Wan Xingyu Chen Xuguang Lan 305 4 0 03 Oct 2024
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning Junkai Zhang Yifan Zhang Xi Sheryl Zhang Yifan Zang Jian Cheng 235 8 0 26 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 175 4 0 30 May 2024
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning Xinran Li Zifan Liu Shibo Chen Jun Zhang 207 9 0 28 May 2024
Continuously evolving rewards in an open-ended environment Richard M. Bailey 164 1 0 02 May 2024
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure Zhicheng Zhang Yancheng Liang Yi Wu Fei Fang 176 2 0 01 May 2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning Hyungho Na Yunkyeong Seo IL-Chul Moon 230 10 0 02 Mar 2024
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 232 7 0 28 Feb 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 315 0 0 06 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Haobin Jiang Zongqing Lu 209 8 0 03 Feb 2024
Adaptive trajectory-constrained exploration strategy for deep reinforcement learning Guojian Wang Faguo Wu Xiao Zhang Ning Guo Zhiming Zheng 213 6 0 27 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 290 34 0 15 Dec 2023
The Wizard of Curiosities: Enriching Dialogues with Fun FactsSIGDIAL Conferences (SIGDIAL), 2023 Frederico Vicente Rafael Ferreira David Semedo João Magalhães 116 2 0 20 Sep 2023
FoX: Formation-aware exploration in multi-agent reinforcement learningAAAI Conference on Artificial Intelligence (AAAI), 2023 Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 202 13 0 22 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chongjie Zhang Qianchuan Zhao 143 2 0 19 Aug 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal ApproachNeural Information Processing Systems (NeurIPS), 2023 Yudi Zhang Yali Du Erdun Gao Ziyan Wang Jun Wang Meng Fang Mykola Pechenizkiy CML 199 26 0 28 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 160 10 0 18 May 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2023 Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 251 9 0 16 Mar 2023
Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Lukas Schafer Oliver Slumbers Alexander Shmakov Yali Du Stefano V. Albrecht D. Mguni 572 7 0 07 Feb 2023
Neural Episodic Control with State AbstractionInternational Conference on Learning Representations (ICLR), 2023 Zhuo Li Derui Zhu Yujing Hu Xiaofei Xie Lei Ma Yan Zheng Yan Song Yingfeng Chen Jianjun Zhao OffRL 247 19 0 27 Jan 2023
Self-Motivated Multi-Agent ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 184 10 0 05 Jan 2023
Strangeness-driven Exploration in Multi-Agent Reinforcement LearningNeural Networks (NN), 2022 Ju-Bong Kim Ho-bin Choi Youn-Hee Han 155 5 0 27 Dec 2022
Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning M. Ibrahim Ammar Fayad 118 1 0 14 Dec 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments Xi Chen Tianyuan Shi Qing Zhao Yuchen Sun Yunfei Gao Xiangjun Wang 119 4 0 14 Oct 2022
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy FactorizationInternational Conference on Learning Representations (ICLR), 2022 Jiangxing Wang Deheng Ye Zongqing Lu OffRL 201 24 0 26 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARLNeural Information Processing Systems (NeurIPS), 2022 R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 195 60 0 21 Sep 2022
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Qing Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Xiaolin Ai Wanmai Yuan 308 1 0 16 Aug 2022
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 282 16 0 08 Jul 2022
Off-Beat Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Wei Qiu Weixun Wang Rongpin Wang Bo An Yujing Hu S. Obraztsova Zinovi Rabinovich Jianye Hao Yingfeng Chen Changjie Fan OffRL 129 2 0 27 May 2022
Dealing with Sparse Rewards Using Graph Neural NetworksIEEE Access (IEEE Access), 2022 Matvey Gerasyov Ilya Makarov 144 4 0 25 Mar 2022
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium ComputationInternational Conference on Machine Learning (ICML), 2022 Pier Giuseppe Sessa Maryam Kamgarpour Andreas Krause 167 20 0 14 Mar 2022
State-based Episodic Memory for Multi-Agent Reinforcement Learning Xiao Ma Wu-Jun Li 83 8 0 19 Oct 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Zhenxing Ge Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 243 148 0 14 Sep 2021