Simone Parisi

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Venues

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
Monitored Markov Decision Processes. CoRR (2024)
Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
Monitored Markov Decision Processes. AAMAS (2024)
Simone Parisi, Alireza Kazemipour, Michael Bowling
Beyond Optimism: Exploration With Partially Observable Rewards. CoRR (2024)
Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna
Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. FedCSIS (2023)
Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms 15 (3) (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR (2022)
Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML (2022)
Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS (2021)
Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR (2021)
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
Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters. MeMeA (2020)
Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR (2020)
Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
TD-regularized actor-critic methods. Mach. Learn. 108 (8-9) (2019)
Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
TD-Regularized Actor-Critic Methods. CoRR (2018)
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
Policy Search with High-Dimensional Context Variables. AAAI (2017)
Simone Parisi, Simon Ramstedt, Jan Peters
Goal-driven dimensionality reduction for reinforcement learning. IROS (2017)
Simone Parisi, Matteo Pirotta, Jan Peters
Manifold-based multi-objective policy search with sample reuse. Neurocomputing 263 (2017)
Simone Parisi, Alexander Blank, Tobias Viernickel, Jan Peters
Local-utopia policy selection for multi-objective reinforcement learning. SSCI (2016)
Francesca Orlando, Ermes Movedi, Davide Coduto, Simone Parisi, Lucio Brancadoro, Valentina Pagani, Tommaso Guarneri, Roberto Confalonieri
Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App. Sensors 16 (12) (2016)
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
Policy Search with High-Dimensional Context Variables. CoRR (2016)
Simone Parisi, Matteo Pirotta, Marcello Restelli
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation. J. Artif. Intell. Res. 57 (2016)
Matteo Pirotta, Simone Parisi, Marcello Restelli
Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation. AAAI (2015)
Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
Reinforcement learning vs human programming in tetherball robot games. IROS (2015)
Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli
Policy gradient approaches for multi-objective sequential decision making: A comparison. ADPRL (2014)
Matteo Pirotta, Simone Parisi, Marcello Restelli
Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation. CoRR (2014)
Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli
Policy gradient approaches for multi-objective sequential decision making. IJCNN (2014)

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Publication Activity (10 Years)

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Simone Parisi