Giorgio Angelotti

Orcid: 0000-0002-1878-5833

According to our database1, Giorgio Angelotti authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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).
PhD thesis, 2023

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., 2023

HyPE: Attention with Hyperbolic Biases for Relative Positional Encoding.
CoRR, 2023

Data-Efficient Offline Reinforcement Learning with Approximate Symmetries.
Proceedings of the Agents and Artificial Intelligence - 15th International Conference, 2023

Data Augmentation Through Expert-Guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022
Expert-guided Symmetry Detection in Markov Decision Processes.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
Exploiting Expert-guided Symmetry Detection in Markov Decision Processes.
CoRR, 2021

Exploitation vs Caution: Risk-sensitive Policies for Offline Learning.
CoRR, 2021

2020
Offline Learning for Planning: A Summary.
CoRR, 2020


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