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ORCIDGiorgio Angelotti
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2020 – today
- 2024
[c4]Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard:
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. AAMAS 2024: 58-67- [i7]Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard:
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. CoRR abs/2402.05703 (2024) - 2023
- [b1]Giorgio Angelotti:
Advances in Risk-Aware Offline Reinforcement Learning: A Study of Data Augmentation, Explainability, and Policy Selection. (Contributions à l'apprentissage par renforcement hors ligne avec prise en compte du risque : étude sur l'augmentation des données, sur la sélection des politiques et sur l'explicabilité). University of Toulouse, France, 2023 - [j1]Giorgio Angelotti
, Natalia Díaz Rodríguez:
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. Knowl. Based Syst. 260: 110189 (2023) - [c3]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. ICAART (2) 2023: 115-124 - [c2]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) 2023: 164-186 - [i6]Giorgio Angelotti:
HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding. CoRR abs/2310.19676 (2023) - 2022
- [c1]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) 2022: 88-98 - [i5]Giorgio Angelotti, Natalia Díaz Rodríguez:
Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. CoRR abs/2212.03041 (2022) - 2021
- [i4]Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel:
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. CoRR abs/2105.13431 (2021) - [i3]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR abs/2111.10297 (2021) - [i2]Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel:
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR abs/2112.09943 (2021) - 2020
- [i1]Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel:
Offline Learning for Planning: A Summary. CoRR abs/2010.01931 (2020)
Coauthor Index
aka: Caroline P. C. Chanel
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