research
∙
03/01/2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
In this paper, we propose a new mutual information framework for multi-a...
share
research
∙
11/28/2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Constrained reinforcement learning (RL) is an area of RL whose objective...
research
∙
06/20/2022
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
In this paper, we consider cooperative multi-agent reinforcement learnin...
research
∙
06/19/2022
Robust Imitation Learning against Variations in Environment Dynamics
In this paper, we propose a robust imitation learning (IL) framework tha...
research
∙
06/04/2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning
In this paper, we propose a maximum mutual information (MMI) framework f...
research
∙
01/09/2020
