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Diogo S. Carvalho
Diogo S. Carvalho
Instituto Superior Técnico, University of Lisbon, and INESC-ID
Verified email at tecnico.ulisboa.pt
Title
Cited by
Cited by
Year
A new convergent variant of -learning with linear function approximation
DS Carvalho, FS Melo, PA Santos
Advances in Neural Information Processing Systems 33, 2020
302020
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-agent Environment
DS Carvalho, B Sengupta
EPIA Conference on Artificial Intelligence, 15-26, 2022
12022
Understanding the impact of data distribution on -learning with function approximation
PP Santos, DS Carvalho, A Sardinha, FS Melo
arXiv e-prints, arXiv: 2111.11758, 2021
12021
CHARET: Character-centered Approach to Emotion Tracking in Stories
DS Carvalho, J Campos, M Guimarães, A Antunes, J Dias, PA Santos
arXiv preprint arXiv:2102.07537, 2021
12021
Theoretical remarks on feudal hierarchies and reinforcement learning
DS Carvalho, FS Melo, PA Santos
26th European Conference on Artificial Intelligence, 2023
2023
Multi-Bellman operator for convergence of -learning with linear function approximation
DS Carvalho, PA Santos, FS Melo
arXiv preprint arXiv:2309.16819, 2023
2023
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
PP Santos, DS Carvalho, M Vasco, A Sardinha, PA Santos, A Paiva, ...
arXiv preprint arXiv:2210.06274, 2022
2022
-learning with regularization converges with non-linear non-stationary features
DS Carvalho, FS Melo, PA Santos
2022
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Articles 1–8