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20152026
most citedFinite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning

50 citations · 194 across the 41 of their papers we have counts for

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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…

eess.SY2026

Finite-Time Analysis of Projected Two-Time-Scale Stochastic Approximation

Yitao Bai, Thinh T. Doan, Justin Romberg

We study the finite-time convergence of projected linear two-time-scale stochastic approximation with constant step sizes and Polyak--Ruppert averaging. We establish an explicit me…