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20182026
most citedNo-Regret Reinforcement Learning in Smooth MDPs

1 citations · 1 across the 16 of their papers we have counts for

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Showing 2020Show all

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cs.LG2020

Policy Optimization as Online Learning with Mediator Feedback

Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro +1

Policy Optimization (PO) is a widely used approach to address continuous control tasks. In this paper, we introduce the notion of mediator feedback that frames PO as an online lear…

cs.LG2020

Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning

Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi +2

The choice of the control frequency of a system has a relevant impact on the ability of reinforcement learning algorithms to learn a highly performing policy. In this paper, we int…