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Lucas Cassano
Lucas Cassano
Applied scientist, Amazon
Verified email at amazon.com
Title
Cited by
Cited by
Year
Multiagent fully decentralized value function learning with linear convergence rates
L Cassano, K Yuan, AH Sayed
IEEE Transactions on Automatic Control 66 (4), 1497-1512, 2020
49*2020
Leveraging inter-rater agreement for classification in the presence of noisy labels
MS Bucarelli, L Cassano, F Siciliano, A Mantrach, F Silvestri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
112023
Distributed value-function learning with linear convergence rates
L Cassano, K Yuan, AH Sayed
2019 18th European Control Conference (ECC), 505-511, 2019
102019
Team policy learning for multi-agent reinforcement learning
L Cassano, SA Alghunaim, AH Sayed
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
72019
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
L Cassano, AH Sayed
International Conference on Artificial Intelligence and Statistics, 667-675, 2021
42021
ISL: A novel approach for deep exploration
L Cassano, AH Sayed
arXiv preprint arXiv:1909.06293, 2019
22019
Teamwork and Exploration in Reinforcement Learning
LCE Cassano
University of California, Los Angeles, 2020
2020
Diseño e implementación de un neuroprocesador
M Angélico Engelhardt, LCE Cassano
2014
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