activity
20182026
most citedFinite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning

50 citations · 69 across the 14 of their papers we have counts for

collaborators
Showing cs.MAShow all

1 paper · 1 filter

cs.MA2026

Internal State-Based Policy Gradient Methods for Partially Observable Markov Potential Games

Wonseok Yang, Thinh T. Doan

This letter studies multi-agent reinforcement learning in partially observable Markov potential games. Solving this problem is challenging due to partial observability, decentraliz…