LAZARIC, ALESSANDRO

LAZARIC, ALESSANDRO  

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Risultati 1 - 20 di 21 (tempo di esecuzione: 0.137 secondi).
Titolo Data di pubblicazione Autori File
A Learning Approach to Dynamic Coalition Formation 1-gen-2007 LAZARIC, ALESSANDRORESTELLI, MARCELLOBONARINI, ANDREA +
A Novel Confidence-Based Algorithm for Structured Bandits 1-gen-2020 Andrea TirinzoniAlessandro LazaricMarcello Restelli
Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot 1-gen-2008 BONARINI, ANDREACACCIA, CLAUDIO GIOVANNILAZARIC, ALESSANDRORESTELLI, MARCELLO
Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game 1-gen-2008 LAZARIC, ALESSANDRODERCOLE, FABIORESTELLI, MARCELLO +
Improving Batch Reinforcement Learning Performance through Transfer of Samples 1-gen-2008 LAZARIC, ALESSANDRORESTELLI, MARCELLOBONARINI, ANDREA
Improving Cooperation among Self-Interested Reinforcement Learning Agents 1-gen-2005 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO +
LEAP: Learning Entities Adaptive Partitioning. 1-gen-2005 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO
Learning in Complex Environments through Multiple Adaptive Partitions 1-gen-2006 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO
Learning Optimal Policies with State Aggregation 1-gen-2005 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO
Learning reusable skills through self-motivation 1-gen-2006 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO
Learning to cooperate in multi-agent social dilemmas 1-gen-2006 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO +
Leveraging Good Representations in Linear Contextual Bandits 1-gen-2021 Matteo PapiniAndrea TirinzoniMarcello RestelliAlessandro LazaricMatteo Pirotta
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions 1-gen-2007 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods. 1-gen-2009 LAZARIC, ALESSANDRORESTELLI, MARCELLOBONARINI, ANDREA
Reinforcement Learning in Extensive Form Games with Incomplete Information: the Bargaining Case Study 1-gen-2007 GATTI, NICOLALAZARIC, ALESSANDRORESTELLI, MARCELLO +
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection 1-gen-2021 Matteo PapiniAndrea TirinzoniMarcello RestelliAlessandro LazaricMatteo Pirotta +
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees 1-gen-2022 Tirinzoni A.Papini M.Lazaric A.Pirotta M. +
Self-Development Framework for Reinforcement Learning Agents 1-gen-2006 BONARINI, ANDREALAZARIC, ALESSANDRORESTELLI, MARCELLO +
Towards Automated Bargaining in Electronic Markets: a Partially Two-Sided Competition Model 1-gen-2008 GATTI, NICOLALAZARIC, ALESSANDRORESTELLI, MARCELLO
Towards automated bargaining in electronic markets: A partially two-sided competition model 1-gen-2010 GATTI, NICOLALAZARIC, ALESSANDRORESTELLI, MARCELLO