3.4k citations · 6.3k across the 41 of their papers we have counts for
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Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
Julien Pérolat, Florian Strub, Bilal Piot +1
This paper addresses the problem of learning a Nash equilibrium in -discounted multiplayer general-sum Markov Games (MG). A key component of this model is the possibility for th…
Is the Bellman residual a bad proxy?
Matthieu Geist, Bilal Piot, Olivier Pietquin
This paper aims at theoretically and empirically comparing two standard optimization criteria for Reinforcement Learning: i) maximization of the mean value and ii) minimization of…
Difference of Convex Functions Programming Applied to Control with Expert Data
Bilal Piot, Matthieu Geist, Olivier Pietquin
This paper reports applications of Difference of Convex functions (DC) programming to Learning from Demonstrations (LfD) and Reinforcement Learning (RL) with expert data. This is m…