35 citations · 43 across the 6 of their papers we have counts for
6 papers
Sequential Transfer in Reinforcement Learning with a Generative Model
Andrea Tirinzoni, Riccardo Poiani, Marcello Restelli
We are interested in how to design reinforcement learning agents that provably reduce the sample complexity for learning new tasks by transferring knowledge from previously-solved…
Time-Variant Variational Transfer for Value Functions
Giuseppe Canonaco, Andrea Soprani, Manuel Roveri +1
In most of the transfer learning approaches to reinforcement learning (RL) the distribution over the tasks is assumed to be stationary. Therefore, the target and source tasks are i…
A Novel Confidence-Based Algorithm for Structured Bandits
Andrea Tirinzoni, Alessandro Lazaric, Marcello Restelli
We study finite-armed stochastic bandits where the rewards of each arm might be correlated to those of other arms. We introduce a novel phased algorithm that exploits the given str…
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns
Alessandro Nuara, Francesco Trovò, Nicola Gatti +1
Pay-per-click advertising includes various formats (\emph{e.g.}, search, contextual, social) with a total investment of more than 200 billion USD per year worldwide. An advertiser…
MushroomRL: Simplifying Reinforcement Learning Research
Carlo D'Eramo, Davide Tateo, Andrea Bonarini +2
MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) experiments. Compared to other available libra…
Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation Supplementary Material
Matteo Pirotta, Simone Parisi, Marcello Restelli
This document contains supplementary material for the paper "Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation", published at the Twenty-Ninth AA…