Simone Parisi

According to our database, Simone Parisi authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Beyond Optimism: Exploration With Partially Observable Rewards.

Simone Parisi, Alireza Kazemipour, Michael Bowling

CoRR, 2024

Monitored Markov Decision Processes.

Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques.

Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna

Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022

Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning.

Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Algorithms, 2022

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control.

Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta

Proceedings of the International Conference on Machine Learning, 2022

2021

Interesting Object, Curious Agent: Learning Task-Agnostic Exploration.

Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Reinforcement Learning with Sparse and Multiple Rewards.

Simone Parisi

PhD thesis, 2020

Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters.

Ilaria Mileti, Juri Taborri, Livio D'Alvia, Simone Parisi, Maria Chiara Ditto, Clara Lisa Peroni, Marco Scarati, Marta Priora, Stefano Rossi, Enrico Fusaro, Zaccaria Del Prete, Eduardo Palermo

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

2019

TD-regularized actor-critic methods.

Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan

Mach. Learn., 2019

2017

Manifold-based multi-objective policy search with sample reuse.

Simone Parisi, Matteo Pirotta, Jan Peters

Neurocomputing, 2017

Goal-driven dimensionality reduction for reinforcement learning.

Simone Parisi, Simon Ramstedt, Jan Peters

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Policy Search with High-Dimensional Context Variables.

Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App.

Francesca Orlando, Ermes Movedi, Davide Coduto, Simone Parisi, Lucio Brancadoro, Valentina Pagani, Tommaso Guarneri, Roberto Confalonieri

Sensors, 2016

Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation.

Simone Parisi, Matteo Pirotta, Marcello Restelli

J. Artif. Intell. Res., 2016

Local-utopia policy selection for multi-objective reinforcement learning.

Simone Parisi, Alexander Blank, Tobias Viernickel, Jan Peters

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015

Reinforcement learning vs human programming in tetherball robot games.

Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation.

Matteo Pirotta, Simone Parisi, Marcello Restelli

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Policy gradient approaches for multi-objective sequential decision making.

Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

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

Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014