A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning

1 March 2023

Papers citing "A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning"

6 / 6 papers shown

Title
B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement Learning Woojun Kim Katia P. Sycara OffRL 94 0 0 30 Jan 2025
Pragmatic Communication for Remote Control of Finite-State Markov Processes Pietro Talli Edoardo David Santi Federico Chiariotti T. Soleymani Federico Mason Andrea Zanella Deniz Gündüz 40 3 0 17 May 2024
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework Woojun Kim Jeonghye Kim Young-Jin Sung 25 5 0 05 Oct 2023
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning Woojun Kim Young-Jin Sung 21 7 0 02 Mar 2023
Value-Decomposition Multi-Agent Actor-Critics Jianyu Su Stephen C. Adams Peter A. Beling 68 101 0 24 Jul 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 146 355 0 16 Oct 2019