1 citations · 3 across the 4 of their papers we have counts for
4 papers
Tight Performance Guarantees of Imitator Policies with Continuous Actions
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Behavioral Cloning (BC) aims at learning a policy that mimics the behavior demonstrated by an expert. The current theoretical understanding of BC is limited to the case of finite a…
Stochastic Rising Bandits
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola +1
This paper is in the field of stochastic Multi-Armed Bandits (MABs), i.e., those sequential selection techniques able to learn online using only the feedback given by the chosen op…
Simultaneously Updating All Persistence Values in Reinforcement Learning
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi +2
In reinforcement learning, the performance of learning agents is highly sensitive to the choice of time discretization. Agents acting at high frequencies have the best control oppo…
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi, Davide Lombarda, Alberto Maria Metelli +2
Automated Reinforcement Learning (AutoRL) is a relatively new area of research that is gaining increasing attention. The objective of AutoRL consists in easing the employment of Re…