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Simone Parisi
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The unsurprising effectiveness of pre-trained vision models for control
S Parisi, A Rajeswaran, S Purushwalkam, A Gupta
International Conference on Machine Learning, 17359-17371, 2022
1882022
Policy gradient approaches for multi-objective sequential decision making
S Parisi, M Pirotta, N Smacchia, L Bascetta, M Restelli
2014 International Joint Conference on Neural Networks (IJCNN), 2323-2330, 2014
852014
Multi-objective reinforcement learning with continuous pareto frontier approximation
M Pirotta, S Parisi, M Restelli
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
822015
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation
S Parisi, M Pirotta, M Restelli
Journal of Artificial Intelligence Research 57, 187-227, 2016
652016
Manifold-based multi-objective policy search with sample reuse
S Parisi, M Pirotta, J Peters
Neurocomputing, Special Issue on Multi-objective Reinforcement Learning 263 …, 2017
582017
Interesting object, curious agent: Learning task-agnostic exploration
S Parisi, V Dean, D Pathak, A Gupta
Advances in Neural Information Processing Systems 34, 20516-20530, 2021
572021
TD-regularized actor-critic methods
S Parisi, V Tangkaratt, J Peters, ME Khan
Machine Learning 108, 1467-1501, 2019
492019
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
282021
Goal-Driven Dimensionality Reduction for Reinforcement Learning
S Parisi, S Ramstedt, J Peters
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
222017
Policy search with high-dimensional context variables
V Tangkaratt, H van Hoof, S Parisi, G Neumann, J Peters, M Sugiyama
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
222017
Reinforcement learning vs human programming in tetherball robot games
S Parisi, H Abdulsamad, A Paraschos, C Daniel, J Peters
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
202015
Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning
S Parisi, D Tateo, M Hensel, C D'Eramo, J Peters, J Pajarinen
Algorithms 15 (3), 2022
11*2022
Policy gradient approaches for multi-objective sequential decision making: A comparison
S Parisi, M Pirotta, N Smacchia, L Bascetta, M Restelli
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
112014
Reinforcement Learning with Sparse and Multiple Rewards
S Parisi
Technische Universität Darmstadt, 2020
32020
Local-utopia Policy Selection for Multi-objective Reinforcement Learning
S Parisi, A Blank, T Viernickel, J Peters
2016 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2016
32016
Monitored Markov Decision Processes
S Parisi, M Mohammedalamen, A Kazemipour, ME Taylor, M Bowling
arXiv preprint arXiv:2402.06819, 2024
12024
Beyond Optimism: Exploration With Partially Observable Rewards
S Parisi, A Kazemipour, M Bowling
arXiv preprint arXiv:2406.13909, 2024
2024
Studio e analisi di algoritmi di apprendimento per rinforzo policy gradient per la risoluzione di problemi decisionali multiobiettivo
S PARISI, N SMACCHIA
Politecnico di Milano, 2012
2012
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