Marcello Restelli

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Sliding-Window Thompson Sampling for Non-Stationary Settings

Nicola Gatti, Marcello Restelli, Francesco Trovò, 2020, J. Artif. Intell. Res..

Learning Optimal Policies with State Aggregation

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2005 .

Smoothing policies and safe policy gradients pdf

Marcello Restelli, Matteo Pirotta, Matteo Papini, 2019, Machine Learning.

Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters

Marcello Restelli, Alberto Maria Metelli, Amarildo Likmeta, 2019, NeurIPS.

Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2008, IFIP AI.

Extensive-form games with heterogeneous populations

Marcello Restelli, Nicola Gatti, Fabio Panozzo, 2013, AAMAS.

Time-Variant Variational Transfer for Value Functions pdf

Marcello Restelli, Manuel Roveri, Giuseppe Canonaco, 2020, UAI.

On the use of the policy gradient and Hessian in inverse reinforcement learning

Marcello Restelli, Matteo Pirotta, Alberto Maria Metelli, 2020, Intelligenza Artificiale.

Transfer of Samples in Policy Search via Multiple Importance Sampling

Marcello Restelli, Andrea Tirinzoni, Mattia Salvini, 2019, ICML.

Batch Reinforcement Learning for semi-active suspension control

Sergio M. Savaresi, Marcello Restelli, Cristiano Spelta, 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

Transfer of Value Functions via Variational Methods

Marcello Restelli, Rafael Rodríguez-Sánchez, Andrea Tirinzoni, 2018, NeurIPS.

Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2007, AI*IA.

Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving

Marcello Restelli, Andrea Tirinzoni, Alberto Maria Metelli, 2020, Robotics Auton. Syst..

Evolutionary Dynamics of Q-Learning over the Sequence Form

Marcello Restelli, Nicola Gatti, Fabio Panozzo, 2014, AAAI.

Tree-based Fitted Q-iteration for Multi-Objective Markov Decision problems

Andrea Castelletti, Marcello Restelli, Francesca Pianosi, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Concepts for Anchoring in Robotics

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2001, AI*IA.

Efficient Evolutionary Dynamics with Extensive-Form Games pdf

Marcello Restelli, Nicola Gatti, Fabio Panozzo, 2013, AAAI.

Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization

Marcello Restelli, Nicola Gatti, Alessandro Nuara, 2019, WWW.

Anchoring: do we need new solutions to an old problem or do we have old solutions for a new problem?

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2001 .

Transfer from Multiple MDPs

Alessandro Lazaric, Marcello Restelli, A. Lazaric, 2011, NIPS.

Hierarchical cooperative learning for multi-agent heterogeneous systems

Andrea Bonarini, Marcello Restelli, M. Villa, 2004 .

Dead Reckoning for Mobile Robots Using Two Optical Mice

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2004, ICINCO.

Optimistic Policy Optimization via Multiple Importance Sampling

Marcello Restelli, Alberto Maria Metelli, Matteo Papini, 2019, ICML.

Equilibrium approximation in simulation-based extensive-form games

Marcello Restelli, Nicola Gatti, Marcello Restelli, 2011, AAMAS.

Estimating a Mean-Path from a set of 2-D curves

Paolo Rocco, Luca Bascetta, Marcello Restelli, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation

Marcello Restelli, Simone Parisi, Matteo Pirotta, 2016, J. Artif. Intell. Res..

Bifurcation Analysis of Reinforcement Learning Agents

Alessandro Lazaric, Marcello Restelli, Fabio Dercole, 2008 .

Concepts and Fuzzy Models for Behavior-Based Robotics

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2003, WILF.

Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme

Luigi Piroddi, Marcello Restelli, Maria Prandini, 2016, IEEE Transactions on Cybernetics.

Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game

Alessandro Lazaric, Marcello Restelli, Enrique Munoz de Cote, 2007, Adaptive Agents and Multi-Agents Systems.

An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits pdf

Alessandro Lazaric, Marcello Restelli, Matteo Pirotta, 2020, NeurIPS.

Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration

Marcello Restelli, Matteo Papini, Andrea Battistello, 2020, AISTATS.

Learning to cooperate in multi-agent social dilemmas

Alessandro Lazaric, Marcello Restelli, Enrique Munoz de Cote, 2006, AAMAS '06.

Gradient-Aware Model-based Policy Search pdf

Marcello Restelli, Andrea Tirinzoni, Alberto Maria Metelli, 2019, AAAI.

Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions

Marcello Restelli, Andrea Tirinzoni, Alberto Maria Metelli, 2020, AISTATS.

Data-driven dynamic emulation modelling for the optimal management of environmental systems

Andrea Castelletti, Marcello Restelli, Rodolfo Soncini-Sessa, 2012, Environ. Model. Softw..

Exploration Driven by an Optimistic Bellman Equation

Jan Peters, Marcello Restelli, Carlo D'Eramo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Sequence-Form and Evolutionary Dynamics: Realization Equivalence to Agent Form and Logit Dynamics

Marcello Restelli, Nicola Gatti, Marcello Restelli, 2016, AAAI.

Towards Automated Bargaining in Electronic Markets: A Partially Two-Sided Competition Model

Alessandro Lazaric, Marcello Restelli, Nicola Gatti, 2008, AMEC/TADA.

Extensive-form games with heterogeneous populations: solution concepts, equilibria characterization, learning dynamics

Marcello Restelli, Nicola Gatti, Fabio Panozzo, 2016, Intelligenza Artificiale.

Improving Batch Reinforcement Learning Performance through Transfer of Samples

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2008, STAIRS.

A Novel Confidence-Based Algorithm for Structured Bandits pdf

Alessandro Lazaric, Marcello Restelli, Andrea Tirinzoni, 2020, AISTATS.

Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning

Marcello Restelli, Manuel Roveri, Giuseppe Canonaco, 2020, ECAI.

Adaptive Batch Size for Safe Policy Gradients

Marcello Restelli, Matteo Pirotta, Matteo Papini, 2017, NIPS.

Following Newton direction in Policy Gradient with parameter exploration

Luca Bascetta, Marcello Restelli, Matteo Pirotta, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Yahtzee: a Large Stochastic Environment for RL Benchmarks

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2005, NIPS 2005.

A novel model to rule behavior interaction

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2004 .

Unimodal Thompson Sampling for Graph-Structured Arms pdf

Marcello Restelli, Nicola Gatti, Francesco Trovò, 2017, AAAI.

Policy gradient approaches for multi-objective sequential decision making: A comparison

Luca Bascetta, Marcello Restelli, Simone Parisi, 2014, 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Budgeted Multi-Armed Bandit in Continuous Action Space

Marcello Restelli, Nicola Gatti, Francesco Trovò, 2016, ECAI.

An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies

Marcello Restelli, Mirco Mutti, Marcello Restelli, 2019, AAAI.

Problems and solutions for anchoring in multi-robot applications

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2007, J. Intell. Fuzzy Syst..

Reinforcement Distribution in Continuous State Action Space Fuzzy Q-Learning: A Novel Approach

Andrea Bonarini, Marcello Restelli, Francesco Montrone, 2005, WILF.

On the usefulness of opponent modeling: the Kuhn Poker case study

Alessandro Lazaric, Marcello Restelli, Mario Quaresimale, 2008, AAMAS.

MushroomRL: Simplifying Reinforcement Learning Research pdf

Andrea Bonarini, Jan Peters, Marcello Restelli, 2020, J. Mach. Learn. Res..

A Policy Gradient Method for Task-Agnostic Exploration pdf

Marcello Restelli, Mirco Mutti, Lorenzo Pratissoli, 2020, ArXiv.

Piecewise constant reinforcement learning for robotic applications

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2007, ICINCO-ICSO.

Multi-objective fitted Q-iteration: Pareto frontier approximation in one single run

Andrea Castelletti, Marcello Restelli, Francesca Pianosi, 2011, 2011 International Conference on Networking, Sensing and Control.

A Data-Based Approach for the Prediction of Stuck-Pipe Events in Oil Drilling Operations

Luigi Piroddi, Marcello Restelli, Matteo Matteucci, 2020 .

A model to manage data reliability in behavior-based robotics

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2004 .

Safe Policy Iteration

Daniele Calandriello, Marcello Restelli, Alessio Pecorino, 2013, ICML.

An architecture to implement agents co-operating in dynamic environments

Andrea Bonarini, Marcello Restelli, 2002, AAMAS '02.

Coherent transport of quantum states by deep reinforcement learning

Dario Tamascelli, Marcello Restelli, Enrico Prati, 2019, Communications Physics.

Newton-based Policy Optimization for Games pdf

Marcello Restelli, Giorgia Ramponi, Marcello Restelli, 2020, ArXiv.

Batch Reinforcement Learning - An Application to a Controllable Semi-active Suspension System

Sergio M. Savaresi, Marcello Restelli, Cristiano Spelta, 2009, ICINCO-ICSO.

Concepts and fuzzy models for behavior-based robotics

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2006, Int. J. Approx. Reason..

Gradient-based minimization for multi-expert Inverse Reinforcement Learning

Andrea Bonarini, Marcello Restelli, Matteo Pirotta, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Computing Equilibria with Two-Player Zero-Sum Continuous Stochastic Games with Switching Controller

Marcello Restelli, Nicola Gatti, Fabio Panozzo, 2012, AAAI.

Importance Sampling Techniques for Policy Optimization

Marcello Restelli, Alberto Maria Metelli, Matteo Papini, 2020, J. Mach. Learn. Res..

Policy space identification in configurable environments pdf

Marcello Restelli, Alberto Maria Metelli, Guglielmo Manneschi, 2019, Machine Learning.

Exploiting Action-Value Uncertainty to Drive Exploration in Reinforcement Learning

Marcello Restelli, Andrea Cini, Carlo D'Eramo, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Policy gradient approaches for multi-objective sequential decision making

Luca Bascetta, Marcello Restelli, Simone Parisi, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Improving multi-armed bandit algorithms in online pricing settings

Marcello Restelli, Nicola Gatti, Francesco Trovò, 2018, Int. J. Approx. Reason..

User context estimation for public travel assistance and intelligent service scheduling

Marcello Restelli, Francesco Bruschi, Vincenzo Rana, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Boosted Fitted Q-Iteration

Marcello Restelli, Carlo D'Eramo, Matteo Pirotta, 2017, ICML.

Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning

Marcello Restelli, Alberto Maria Metelli, Lorenzo Bisi, 2020, ICML.

Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Filling the Gap among Coordination, Planning, and Reaction Using a Fuzzy Cognitive Model

Andrea Bonarini, Marcello Restelli, Matteo Matteucci, 2003, RoboCup.

Inverse Reinforcement Learning through Policy Gradient Minimization

Marcello Restelli, Matteo Pirotta, Matteo Pirotta, 2016, AAAI.

Does Reinforcement Learning outperform PID in the control of FES-induced elbow flex-extension?

Marcello Restelli, Simona Ferrante, Matteo Pirotta, 2018, 2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games

Marcello Restelli, Nicola Gatti, Giuseppe De Nittis, 2017, UAI.

A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns

Marcello Restelli, Nicola Gatti, Alessandro Nuara, 2018, AAAI.

Designing Learning Algorithms over the Sequence Form of an Extensive-Form Game

Marcello Restelli, Edoardo Manino, Nicola Gatti, 2017, AAMAS.

Reconstruction of public transport state

Marcello Restelli, Francesco Bruschi, Vincenzo Rana, 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

Configurable Markov Decision Processes

Marcello Restelli, Alberto Maria Metelli, Mirco Mutti, 2018, ICML.

Improving Cooperation among Self-Interested Reinforcement Learning Agents

Andrea Bonarini, Alessandro Lazaric, Marcello Restelli, 2005 .

Risk-Averse Trust Region Optimization for Reward-Volatility Reduction pdf

Marcello Restelli, Edoardo Vittori, Matteo Papini, 2019, IJCAI.

Fitted policy search

Andrea Bonarini, Marcello Restelli, Martino Migliavacca, 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).

Batch-mode Reinforcement Learning for improved hydro-environmental systems management

Andrea Castelletti, Marcello Restelli, Rodolfo Soncini-Sessa, 2010 .

A practical guide to multi-objective reinforcement learning and planning pdf

Fredrik Heintz, Marcello Restelli, Timothy Verstraeten, 2021, Autonomous Agents and Multi-Agent Systems.

Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization pdf

Marcello Restelli, Pierre Liotet, Francesco Vidaich, 2021, AAAI.

Inferring Functional Properties from Fluid Dynamics Features

Marcello Restelli, Giacomo Boracchi, Maurizio Quadrio, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Conservative Online Convex Optimization

Marcello Restelli, Francesco Trovò, Edoardo Vittori, 2021, ECML/PKDD.

Exploiting History Data for Nonstationary Multi-armed Bandit

Marcello Restelli, Francesco Trovò, Fabio Chiusano, 2021, ECML/PKDD.