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Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics

3 October 2019

Papers citing "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"

41 / 41 papers shown

Title
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia Sycara OffRL 153 0 0 30 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 187 40 0 03 Jan 2025
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning Xinran Li Ling Pan Jun Zhang 95 3 0 11 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 133 5 0 03 Oct 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training Pihe Hu Shaolong Li Zhuoran Li L. Pan Longbo Huang 42 0 0 28 Sep 2024
MBC: Multi-Brain Collaborative Control for Quadruped Robots Hang Liu Yi Cheng Rankun Li Xiaowen Hu Linqi Ye Houde Liu 75 0 0 24 Sep 2024
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning Claude Formanek Louise Beyers C. Tilbury Jonathan P. Shock Arnu Pretorius OffRL 88 2 0 18 Sep 2024
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks Feiyang Xu Shunyu Liu Yunpeng Qing Yihe Zhou Yuwen Wang Mingli Song 55 3 0 25 Jun 2024
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions Chuanneng Sun Songjun Huang D. Pompili LLMAG 120 35 0 17 May 2024
Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control Yang Qu Jinming Ma Feng Wu 70 4 0 14 May 2024
Pursuit-Evasion for Car-like Robots with Sensor Constraints B. M. Gonultas Volkan Isler 102 0 0 08 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 106 9 0 22 Apr 2024
Network-Assisted Full-Duplex Cell-Free mmWave Networks: Hybrid MIMO Processing and Multi-Agent DRL-Based Power Allocation Q. Fan Yu Zhang Jiamin Li Dongmin Wang Hongbiao Zhang Xiaohu You 32 1 0 31 Mar 2024
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks Takayuki Osa Tatsuya Harada 126 2 0 01 Mar 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 119 13 0 22 Jan 2024
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV Beomyeol Yu Taeyoung Lee AI4CE 44 3 0 10 Nov 2023
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning Tao Li Juan Guevara Xinghong Xie Quanyan Zhu OffRL 67 1 0 06 Oct 2023
Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization Chenyang Miao Yunduan Cui Huiyun Li Xin Wu 128 5 0 26 Sep 2023
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning Jianzhun Shao Yun Qu Chen Chen Hongchang Zhang Xiangyang Ji OffRL 87 22 0 22 Sep 2023
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning Zhuoran Li Ling Pan Longbo Huang DiffM OffRL 66 8 0 04 Jul 2023
Decentralized Multi-Agent Reinforcement Learning with Global State Prediction Josh Bloom Pranjal Paliwal Apratim Mukherjee Carlo Pinciroli 70 3 0 22 Jun 2023
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization Kailash Gogineni Yongsheng Mei Peng Wei Tian-Shing Lan Guru Venkataramani 79 13 0 31 May 2023
Towards Efficient Multi-Agent Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 80 5 0 22 May 2023
Promoting Cooperation in Multi-Agent Reinforcement Learning via Mutual Help Yunbo Qiu Yue Jin Lebin Yu Jian Wang Xudong Zhang 43 1 0 18 Feb 2023
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems Kailash Gogineni Peng Wei Tian-Shing Lan Guru Venkataramani 82 8 0 10 Feb 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning Claude Formanek Asad Jeewa Jonathan P. Shock Arnu Pretorius OffRL 115 2 0 01 Feb 2023
Satellite Navigation and Coordination with Limited Information Sharing Sydney I. Dolan Siddharth Nayak H. Balakrishnan 64 5 0 07 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 67 32 0 03 Nov 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review Fadi AlMahamid Katarina Grolinger 63 76 0 25 Aug 2022
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents Xuting Tang Jia Xu Shusen Wang 51 1 0 04 Aug 2022
Stabilizing Voltage in Power Distribution Networks via Multi-Agent Reinforcement Learning with Transformer Minrui Wang Ming Feng Wen-gang Zhou Houqiang Li 78 10 0 08 Jun 2022
MDPGT: Momentum-based Decentralized Policy Gradient Tracking Zhanhong Jiang Xian Yeow Lee Sin Yong Tan Kai Liang Tan Aditya Balu Young M. Lee Chinmay Hegde Soumik Sarkar 85 7 0 06 Dec 2021
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification L. Pan Longbo Huang Tengyu Ma Huazhe Xu OffRL OnRL 117 55 0 22 Nov 2021
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks Jianhong Wang Wangkun Xu Yunjie Gu Wenbin Song T. Green 86 128 0 27 Oct 2021
Regularized Softmax Deep Multi-Agent $Q$ -Learning L. Pan Tabish Rashid Bei Peng Longbo Huang Shimon Whiteson 114 36 0 22 Mar 2021
Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition Pavan Samtani Francisco Leiva Javier Ruiz-del-Solar 40 2 0 09 Mar 2021
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control Qingrui Zhang Hao Dong Wei Pan 37 7 0 20 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 56 1 0 16 Sep 2020
Learning Agile Locomotion via Adversarial Training Yujin Tang Jie Tan Tatsuya Harada 70 15 0 03 Aug 2020
Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward Hassam Sheikh Ladislau Bölöni 105 37 0 24 Mar 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr Wendelin Bohmer Shimon Whiteson 93 265 0 14 Mar 2020