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20212025
most citedRegret Minimization and Convergence to Equilibria in General-sum Markov Games

2 citations · 4 across the 10 of their papers we have counts for

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cs.LG2023

Rate-Optimal Policy Optimization for Linear Markov Decision Processes

Uri Sherman, Alon Cohen, Tomer Koren +1

We study regret minimization in online episodic linear Markov Decision Processes, and obtain rate-optimal regret where denotes the number of episodes.…

cs.LG2023★ 1 cited

Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation

Uri Sherman, Tomer Koren, Yishay Mansour

We study reinforcement learning with linear function approximation and adversarially changing cost functions, a setup that has mostly been considered under simplifying assumptions…