82 citations · 98 across the 26 of their papers we have counts for
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cs.LG2020★ 3 cited
Inverse Reinforcement Learning from a Gradient-based Learner
Giorgia Ramponi, Gianluca Drappo, Marcello Restelli
Inverse Reinforcement Learning addresses the problem of inferring an expert's reward function from demonstrations. However, in many applications, we not only have access to the exp…
cs.LG2020★ 2 cited
Newton Optimization on Helmholtz Decomposition for Continuous Games
Giorgia Ramponi, Marcello Restelli
Many learning problems involve multiple agents optimizing different interactive functions. In these problems, the standard policy gradient algorithms fail due to the non-stationari…