Contrasting Centralized and Decentralized Critics in Multi-Agent
Reinforcement Learning

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

8 February 2021

Papers citing "Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning"

15 / 15 papers shown

Title
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation Claude Formanek C. Tilbury Louise Beyers Jonathan P. Shock Arnu Pretorius OffRL 42 1 0 13 Jun 2024
An Algorithm For Adversary Aware Decentralized Networked MARL Soumajyoti Sarkar AAML 11 1 0 09 May 2023
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 19 3 0 12 Feb 2023
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning A. Rahman Arnab Bhattacharya Thiagarajan Ramachandran Sayak Mukherjee Himanshu Sharma Ted Fujimoto Samrat Chatterjee 30 5 0 20 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 35 16 0 15 Dec 2022
Curriculum Learning for Relative Overgeneralization Lin Shi Bei Peng 28 1 0 06 Dec 2022
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning Yuchen Xiao Weihao Tan Chris Amato OffRL 64 19 0 20 Sep 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems Miguel Suau Jinke He Mustafa Mert cCelikok M. Spaan F. Oliehoek 19 1 0 01 Jul 2022
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem Muning Wen J. Kuba Runji Lin Weinan Zhang Ying Wen Jun Wang Yaodong Yang 26 179 0 30 May 2022
On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning Andrew Cohen Ervin Teng Vincent-Pierre Berges Ruo-Ping Dong Hunter Henry Marwan Mattar Alexander Zook Sujoy Ganguly 21 33 0 10 Nov 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 15 24 0 08 Sep 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 24 58 0 19 Aug 2021
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 55 211 0 18 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 140 355 0 16 Oct 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 412 0 11 Aug 2019