Giorgio Angelotti

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Partial Observability

Markov Decision Process

Reinforcement Learning

Top Venues

ICAART (Revised Selected Paper)

Publications

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 (2024)
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)
Giorgio Angelotti
HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding. CoRR (2023)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Data-Efficient Offline Reinforcement Learning with Approximate Symmetries. ICAART (Revised Selected Paper) (2023)
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 (2023)
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)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-guided Symmetry Detection in Markov Decision Processes. ICAART (2) (2022)
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 (2022)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Expert-Guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
Exploitation vs Caution: Risk-sensitive Policies for Offline Learning. CoRR (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline P. C. Chanel
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes. CoRR (2021)
Giorgio Angelotti, Nicolas Drougard, Caroline Ponzoni Carvalho Chanel
Offline Learning for Planning: A Summary. CoRR (2020)