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20162026
most citedLazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act

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

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cs.GT2019

Foolproof Cooperative Learning

Alexis Jacq, Julien Perolat, Matthieu Geist +1

This paper extends the notion of learning equilibrium in game theory from matrix games to stochastic games. We introduce Foolproof Cooperative Learning (FCL), an algorithm that con…