Giorgio Angelotti

15 papers A 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An offline risk-aware policy selection method for Bayesian Markov decision processes. Artif. Intell. Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2026	J	`jnl`	Ink Detection from Surface Topography of the Herculaneum Papyri. CoRR Giorgio Angelotti, Federica Nicolardi, Paul Henderson, W. Brent Seales
2024	A	`conf`	Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. AAMAS Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
2024	J	`jnl`	Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. CoRR Giorgio Angelotti, Caroline P. C. Chanel, Adam H. M. Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
2023	—	`—`	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). Giorgio Angelotti
2023	—	`conf`	Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning. ICAART (2) Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2023	—	`conf`	Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2023	J	`jnl`	HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding. CoRR Giorgio Angelotti
2023	J	`jnl`	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. Giorgio Angelotti, Natalia Díaz Rodríguez
2022	—	`conf`	Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2022	J	`jnl`	Towards a more efficient computation of individual attribute and policy contribution for post-hoc explanation of cooperative multi-agent systems using Myerson values. CoRR Giorgio Angelotti, Natalia Díaz Rodríguez
2021	J	`jnl`	Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2021	J	`jnl`	Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. CoRR Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
2021	J	`jnl`	Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
2020	J	`jnl`	Offline Learning for Planning: A Summary. CoRR Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel