default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSimone Parisi
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c12]Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling:
Monitored Markov Decision Processes. AAMAS 2024: 1549-1557- [i8]Simone Parisi, Montaser Mohammedalamen, Alireza Kazemipour, Matthew E. Taylor, Michael Bowling:
Monitored Markov Decision Processes. CoRR abs/2402.06819 (2024) - [i7]Simone Parisi, Alireza Kazemipour, Michael Bowling:
Beyond Optimism: Exploration With Partially Observable Rewards. CoRR abs/2406.13909 (2024) - 2023
- [c11]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: 859-864 - 2022
- [j5]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): 81 (2022) - [c10]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. ICML 2022: 17359-17371 - [i6]Simone Parisi, Aravind Rajeswaran, Senthil Purushwalkam, Abhinav Gupta:
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control. CoRR abs/2203.03580 (2022) - 2021
- [c9]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. NeurIPS 2021: 20516-20530 - [i5]Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta:
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration. CoRR abs/2111.13119 (2021) - 2020
- [b1]Simone Parisi:
Reinforcement Learning with Sparse and Multiple Rewards. Darmstadt University of Technology, Germany, 2020 - [c8]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: 1-6 - [i4]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 abs/2001.00119 (2020)
2010 – 2019
- 2019
- [j4]Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan:
TD-regularized actor-critic methods. Mach. Learn. 108(8-9): 1467-1501 (2019) - 2018
- [i3]Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan:
TD-Regularized Actor-Critic Methods. CoRR abs/1812.08288 (2018) - 2017
- [j3]Simone Parisi, Matteo Pirotta, Jan Peters:
Manifold-based multi-objective policy search with sample reuse. Neurocomputing 263: 3-14 (2017) - [c7]Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama:
Policy Search with High-Dimensional Context Variables. AAAI 2017: 2632-2638 - [c6]Simone Parisi, Simon Ramstedt, Jan Peters:
Goal-driven dimensionality reduction for reinforcement learning. IROS 2017: 4634-4639 - 2016
- [j2]Simone Parisi, Matteo Pirotta, Marcello Restelli:
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation. J. Artif. Intell. Res. 57: 187-227 (2016) - [j1]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): 2004 (2016) - [c5]Simone Parisi, Alexander Blank, Tobias Viernickel, Jan Peters:
Local-utopia policy selection for multi-objective reinforcement learning. SSCI 2016: 1-7 - [i2]Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama:
Policy Search with High-Dimensional Context Variables. CoRR abs/1611.03231 (2016) - 2015
- [c4]Matteo Pirotta, Simone Parisi, Marcello Restelli:
Multi-Objective Reinforcement Learning with Continuous Pareto Frontier Approximation. AAAI 2015: 2928-2934 - [c3]Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters:
Reinforcement learning vs human programming in tetherball robot games. IROS 2015: 6428-6434 - 2014
- [c2]Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli:
Policy gradient approaches for multi-objective sequential decision making: A comparison. ADPRL 2014: 1-8 - [c1]Simone Parisi, Matteo Pirotta, Nicola Smacchia, Luca Bascetta, Marcello Restelli:
Policy gradient approaches for multi-objective sequential decision making. IJCNN 2014: 2323-2330 - [i1]Matteo Pirotta, Simone Parisi, Marcello Restelli:
Multi-objective Reinforcement Learning with Continuous Pareto Frontier Approximation. CoRR abs/1406.3497 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
