Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning

12 June 2020

Papers citing "Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning"

36 / 36 papers shown

Title
JaxRobotarium: Training and Deploying Multi-Robot Policies in 10 Minutes Shalin Jain Jiazhen Liu Siva Kailas Harish Ravichandar 37 0 0 10 May 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
Low-Rank Agent-Specific Adaptation (LoRASA) for Multi-Agent Policy Learning Beining Zhang Aditya Kapoor Mingfei Sun 57 0 0 08 Feb 2025
Selective Experience Sharing in Reinforcement Learning Enhances Interference Management Madan Dahal Mojtaba Vaezi 50 0 0 28 Jan 2025
Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation Lucas C. D. Bezerra Ataíde M. G. dos Santos Shinkyu Park 45 0 0 29 Dec 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 52 5 0 11 Aug 2024
Contrastive learning-based agent modeling for deep reinforcement learning Wenhao Ma Yu-Cheng Chang Jie Yang Yu-Kai Wang Chin-Teng Lin OffRL 29 0 0 30 Dec 2023
Sparse Mean Field Load Balancing in Large Localized Queueing Systems Anam Tahir Kai Cui Heinz Koeppl 35 0 0 20 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
On Diagnostics for Understanding Agent Training Behaviour in Cooperative MARL Wiem Khlifi Siddarth S. Singh Omayma Mahjoub Ruan de Kock Abidine Vall R. Gorsane Arnu Pretorius 39 1 0 13 Dec 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 29 5 0 01 Nov 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 2023
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 19 1 0 09 May 2023
Improving Zero-Shot Coordination Performance Based on Policy Similarity Lebin Yu Yunbo Qiu Quanming Yao Xudong Zhang Jian Wang 27 1 0 10 Feb 2023
Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning Hadi Nekoei Akilesh Badrinaaraayanan Amit Sinha Mohammad Amini Janarthanan Rajendran Aditya Mahajan Sarath Chandar 31 13 0 06 Feb 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning Sebastian Peitz J. Stenner V. Chidananda Oliver Wallscheid Steven L. Brunton Kunihiko Taira AI4CE 27 19 0 25 Jan 2023
Opponent-aware Role-based Learning in Team Competitive Markov Games Paramita Koley Aurghya Maiti Niloy Ganguly Sourangshu Bhattacharya 29 1 0 14 Jan 2023
Actor-Director-Critic: A Novel Deep Reinforcement Learning Framework Zongwei Liu Yonghong Song Yuanlin Zhang OffRL 35 2 0 10 Jan 2023
Self-Motivated Multi-Agent Exploration Shaowei Zhang Jiahan Cao Lei Yuan Yang Yu De-Chuan Zhan 47 5 0 05 Jan 2023
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 20 12 0 19 Dec 2022
Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning Filippos Christianos Georgios Papoudakis Stefano V. Albrecht 35 4 0 28 Sep 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 49 0 21 Sep 2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer Jeewon Jeon Woojun Kim Whiyoung Jung Young-Jin Sung 29 35 0 20 Jun 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning Wei Fu Chao Yu Zelai Xu Jiaqi Yang Yi Wu 34 32 0 15 Jun 2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS Eleni Nisioti Matéo Mahaut Pierre-Yves Oudeyer Ida Momennejad Clément Moulin-Frier 24 9 0 10 Jun 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems Ho Long Fung Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 32 5 0 25 May 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri Petros Koumoutsakos CLL OffRL 18 7 0 24 Mar 2022
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications Tim Tsz-Kit Lau B. Sengupta 25 4 0 14 Mar 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman T. Krajník Barry Lennox F. Arvin 34 34 0 02 Feb 2022
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning Chapman Siu Jason M. Traish R. Xu 33 2 0 19 Sep 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 42 104 0 23 Jul 2021
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing Filippos Christianos Georgios Papoudakis Arrasy Rahman Stefano V. Albrecht 25 114 0 15 Feb 2021
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 26 220 0 14 Jun 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 57 211 0 18 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 146 355 0 16 Oct 2019