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Giorgio Angelotti — most-cited papers & profile · Reinforcement Learning
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Giorgio Angelotti
4
papers ·
0
citations
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Most-cited papers
An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
2021
Expert-Guided Symmetry Detection in Markov Decision Processes
2021
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning
2021
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
2024
Top co-authors
Nicolas Drougard
· 4
Caroline P. C. Chanel
· 3
Adam H. M. Pinto
· 1
Caroline Ponzoni Carvalho Chanel
· 1
Christophe Lounis
· 1
Corentin Chauffaut
· 1
Topics
Offline RL
Model-Based RL
Safe RL
Exploration
Multi-Agent