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ORCIDLorenzo Steccanella
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2020 – today
- 2023
[b1]Lorenzo Steccanella:
Representation learning for hierarchical reinforcement learning. Pompeu Fabra University, Spain, 2023- [c4]Lorenzo Steccanella, Simone Totaro, Anders Jonsson:
Hierarchical Representation Learning for Markov Decision Processes. CoLLAs 2023: 568-585 - [i4]Lorenzo Steccanella, Anders Jonsson:
Asymmetric Norms to Approximate the Minimum Action Distance. CoRR abs/2312.10276 (2023) - 2022
- [c3]Lorenzo Steccanella, Anders Jonsson:
State Representation Learning for Goal-Conditioned Reinforcement Learning. ECML/PKDD (4) 2022: 84-99 - [i3]Lorenzo Steccanella, Anders Jonsson:
State Representation Learning for Goal-Conditioned Reinforcement Learning. CoRR abs/2205.01965 (2022) - 2021
- [i2]Lorenzo Steccanella, Simone Totaro, Anders Jonsson:
Hierarchical Representation Learning for Markov Decision Processes. CoRR abs/2106.01655 (2021) - 2020
- [j1]Lorenzo Steccanella, Domenico Daniele Bloisi, Alberto Castellini, Alessandro Farinelli
:
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. Robotics Auton. Syst. 124: 103346 (2020) - [i1]Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson:
Hierarchical reinforcement learning for efficient exploration and transfer. CoRR abs/2011.06335 (2020)
2010 – 2019
- 2018
- [c2]Lorenzo Steccanella, Domenico Bloisi, Jason Blum, Alessandro Farinelli:
Deep Learning Waterline Detection for Low-Cost Autonomous Boats. IAS 2018: 613-625 - 2016
- [c1]Lorenzo Steccanella, Alessandro Farinelli, Luca Iocchi, Daniele Nardi:
Coloured Petri Net Plans for Cooperative Multi-robot Systems. AIRO@AI*IA 2016: 51-55
Coauthor Index
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