Simone Parisi - RankMe

30 papers A* 5A 3B 1C 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Model-Based Exploration in Monitored Markov Decision Processes. CoRR Alireza Kazemipour, Simone Parisi, Matthew E. Taylor, Michael Bowling
2025	—	`conf`	Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. ICIAP (2) Carmelo Scribano, Elena Govi, Paolo Bertellini, Simone Parisi, Giorgia Franchini, Marko Bertogna
2025	J	`jnl`	Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation. CoRR Carmelo Scribano, Elena Govi, Paolo Bertellini, Simone Parisi, Giorgia Franchini, Marko Bertogna
2024	A*	`conf`	Beyond Optimism: Exploration With Partially Observable Rewards. NeurIPS Simone Parisi, Alireza Kazemipour, Michael Bowling
2024	J	`jnl`	Beyond Optimism: Exploration With Partially Observable Rewards. CoRR Simone Parisi, Alireza Kazemipour, Michael Bowling
2024	A	`conf`	Monitored Markov Decision Processes. AAMAS Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2024	J	`jnl`	Monitored Markov Decision Processes. CoRR Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling
2023	C	`conf`	Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. FedCSIS Paolo Bertellini, Gianluca D'Addese, Giorgia Franchini, Simone Parisi, Carmelo Scribano, Daniele Zanirato, Marko Bertogna
2022	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	A*	`conf`	The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
2022	J	`jnl`	The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta
2021	A*	`conf`	Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
2021	J	`jnl`	Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta
2020	—	`conf`	Accuracy Evaluation and Clinical Application of an Optimized Solution for Measuring Spatio-Temporal Gait Parameters. MeMeA 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
2020	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	—	`—`	Reinforcement Learning with Sparse and Multiple Rewards. Simone Parisi
2019	J	`jnl`	TD-regularized actor-critic methods. Mach. Learn. Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
2018	J	`jnl`	TD-Regularized Actor-Critic Methods. CoRR Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
2017	A	`conf`	Goal-driven dimensionality reduction for reinforcement learning. IROS Simone Parisi, Simon Ramstedt, Jan Peters
2017	J	`jnl`	Manifold-based multi-objective policy search with sample reuse. Neurocomputing Simone Parisi, Matteo Pirotta, Jan Peters
2017	A*	`conf`	Policy Search with High-Dimensional Context Variables. AAAI Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2016	J	`jnl`	Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App. Sensors Francesca Orlando, Ermes Movedi, Davide Coduto, Simone Parisi, Lucio Brancadoro, Valentina Pagani, Tommaso Guarneri, Roberto Confalonieri
2016	—	`conf`	Local-utopia policy selection for multi-objective reinforcement learning. SSCI Simone Parisi, Alexander Blank, Tobias Viernickel, Jan Peters
2016	J	`jnl`	Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation. J. Artif. Intell. Res. Simone Parisi, Matteo Pirotta, Marcello Restelli
2016	J	`jnl`	Policy Search with High-Dimensional Context Variables. CoRR Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2015	A*	`conf`	Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation. AAAI Matteo Pirotta, Simone Parisi, Marcello Restelli
2015	A	`conf`	Reinforcement learning vs human programming in tetherball robot games. IROS Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
2014	J	`jnl`	Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation. CoRR Matteo Pirotta, Simone Parisi, Marcello Restelli
2014	B	`conf`	Policy gradient approaches for multi-objective sequential decision making. IJCNN Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli
2014	—	`conf`	Policy gradient approaches for multi-objective sequential decision making: A comparison. ADPRL Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli