Actor-Attention-Critic for Multi-Agent Reinforcement Learning

5 October 2018

Papers citing "Actor-Attention-Critic for Multi-Agent Reinforcement Learning"

50 / 281 papers shown

Title
Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning Xiao Du Yutong Ye Peng Zhang Yaning Yang Mingsong Chen Ting Wang 40 4 0 15 Dec 2023
DCIR: Dynamic Consistency Intrinsic Reward for Multi-Agent Reinforcement Learning Kun-Li Channing Lin Yufeng Wang Peihao Chen Runhao Zeng Siyuan Zhou Mingkui Tan Chuang Gan AI4CE 39 0 0 10 Dec 2023
A Review of Cooperation in Multi-agent Learning Yali Du Joel Z Leibo Usman Islam Richard Willis P. Sunehag 46 31 0 08 Dec 2023
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Zican Hu Zongzhang Zhang Huaxiong Li Chunlin Chen Hongyu Ding Zhi Wang 62 8 0 08 Dec 2023
A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control Han Xu Jialin Zheng Guannan Qu 22 2 0 07 Dec 2023
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 30 10 0 03 Nov 2023
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning Rizhong Wang Huiping Li Di Cui Demin Xu OffRL 41 0 0 01 Nov 2023
DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention Zheng Zhang Dengyu Zhang Qingrui Zhang Wei Pan Tianjiang Hu 57 4 0 24 Oct 2023
Fact-based Agent modeling for Multi-Agent Reinforcement Learning Baofu Fang Caiming Zheng Hao Wang OffRL 37 0 0 18 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 26 1 0 11 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization Pablo V. A. Barros A. Sciutti SSL 33 3 0 02 Oct 2023
Multiagent Reinforcement Learning with an Attention Mechanism for Improving Energy Efficiency in LoRa Networks Xu Zhang Zi-How Lin Shimin Gong Bo Gu Dusit Niyato 11 1 0 16 Sep 2023
Attention Loss Adjusted Prioritized Experience Replay Zhuoying Chen Huiping Li Rizhong Wang 19 2 0 13 Sep 2023
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks Marwa Chafii Salmane Naoumi Réda Alami Ebtesam Almazrouei M. Bennis Merouane Debbah 27 16 0 12 Sep 2023
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning Zhizun Wang David Meger DRL 22 1 0 08 Sep 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 40 5 0 22 Aug 2023
Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment Hao Zhang Jiaming Chen Jiyu Cheng Yibin Li Simon X. Yang Wei Zhang 49 6 0 17 Aug 2023
Heterogeneous Embodied Multi-Agent Collaboration Xinzhu Liu Di Guo Huaping Liu 37 7 0 26 Jul 2023
QMNet: Importance-Aware Message Exchange for Decentralized Multi-Agent Reinforcement Learning Xiufeng Huang Sheng Zhou 16 1 0 18 Jul 2023
SACHA: Soft Actor-Critic with Heuristic-Based Attention for Partially Observable Multi-Agent Path Finding Qiushi Lin Hang Ma 84 17 0 05 Jul 2023
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 45 0 0 05 Jul 2023
Attention-based Open RAN Slice Management using Deep Reinforcement Learning Fatemeh Lotfi Fatemeh Afghah Jonathan D. Ashdown 21 9 0 15 Jun 2023
Multi-agent Exploration with Sub-state Entropy Estimation Jian Tao Yang Zhang Yang Chen Xiu Li 31 1 0 10 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents Ziyuan Zhou Guanjun Liu AAML 26 7 0 09 Jun 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee OffRL 21 1 0 04 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 23 13 0 31 May 2023
Attention Schema in Neural Agents Dianbo Liu Samuele Bolotta He Zhu Yoshua Bengio G. Dumas 31 5 0 27 May 2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL? Yihe Zhou Shunyu Liu Yunpeng Qing Kaixuan Chen Tongya Zheng Jie Song Mingli Song 46 18 0 27 May 2023
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees Sharan Vaswani A. Kazemi Reza Babanezhad Nicolas Le Roux OffRL 42 3 0 24 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 40 4 0 22 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 46 14 0 17 May 2023
Task-Oriented Communication Design at Scale Arsham Mostaani T. Vu Hamed Habibi Symeon Chatzinotas Björn E. Ottersten 34 3 0 15 May 2023
From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL Dapeng Li Zhiwei Xu Bin Zhang Guoliang Fan 52 7 0 28 Apr 2023
Centralized control for multi-agent RL in a complex Real-Time-Strategy game Roger Creus Castanyer 26 2 0 25 Apr 2023
Interpretability for Conditional Coordinated Behavior in Multi-Agent Reinforcement Learning Yoshinari Motokawa T. Sugawara AI4CE 24 2 0 20 Apr 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning Bin Zhang Lijuan Li Zhiwei Xu Dapeng Li Guoliang Fan 20 10 0 20 Apr 2023
Learning to Influence Human Behavior with Offline Reinforcement Learning Joey Hong Sergey Levine Anca Dragan OffRL AI4CE 55 0 0 03 Mar 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning Woojun Kim Young-Jin Sung 52 8 0 02 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 35 7 0 01 Mar 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 52 38 0 21 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 54 2 0 20 Feb 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning Cong Guan F. Chen Lei Yuan Zongzhang Zhang Yang Yu OffRL 44 4 0 19 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network Wei Li Weiyan Liu Shitong Shao Shiyi Huang 20 3 0 19 Feb 2023
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning Shanqi Liu Yujing Hu Runze Wu Dongxian Xing Yu Xiong Changjie Fan Kun Kuang Y. Liu 32 1 0 14 Feb 2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 24 8 0 10 Feb 2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Songyang Han Shangli Zhou Lynn Pepin Jiangwei Wang Caiwen Ding Fei Miao 21 1 0 08 Feb 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 46 3 0 04 Feb 2023
Best Possible Q-Learning Jiechuan Jiang Zongqing Lu OffRL 33 5 0 02 Feb 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 34 1 0 14 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 44 5 0 11 Jan 2023