A Deeper Understanding of State-Based Critics in Multi-Agent
Reinforcement Learning

A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning

3 January 2022

Papers citing "A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning"

9 / 9 papers shown

Title
An Introduction to Centralized Training for Decentralized Execution in Cooperative Multi-Agent Reinforcement Learning Christopher Amato OffRL 31 9 0 04 Sep 2024
On Centralized Critics in Multi-Agent Reinforcement Learning Xueguang Lyu Andrea Baisero Yuchen Xiao Brett Daley Christopher Amato OffRL 34 10 0 26 Aug 2024
TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning Xiao Hu P. Guo Chuanwei Zhou Tong Zhang Zhen Cui 35 0 0 24 Jun 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 31 7 0 20 Jun 2023
Off-the-Grid MARL: Datasets with Baselines for Offline Multi-Agent Reinforcement Learning Claude Formanek Asad Jeewa Jonathan P. Shock Arnu Pretorius OffRL 43 1 0 01 Feb 2023
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability Thomy Phan Fabian Ritz Philipp Altmann Maximilian Zorn Jonas Nusslein Michael Kolle Thomas Gabor Claudia Linnhoff-Popien 22 12 0 04 Jan 2023
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 44 50 0 21 Sep 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration Pengyi Li Hongyao Tang Tianpei Yang Xiaotian Hao Tong Sang ... Jianye Hao Matthew E. Taylor Wenyuan Tao Zhen Wang Fazl Barez 21 31 0 16 Mar 2022
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020