Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates. - Lucas Cassano; Kun Yuan 001; Ali H. Sayed (CoRR, 2018)

Distributed Value-Function Learning with Linear Convergence Rates. - Lucas Cassano; Kun Yuan 001; Ali H. Sayed (ECC, 2019)

Team Policy Learning for Multi-agent Reinforcement Learning. - Lucas Cassano; Sulaiman A. Alghunaim; Ali H. Sayed (ICASSP, 2019)

ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off. - Lucas Cassano; Ali H. Sayed (CoRR, 2019)

Logical Team Q-learning: An approach towards factored policies in cooperative MARL. - Lucas Cassano; Ali H. Sayed (AISTATS, 2021)

Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. - Lucas Cassano; Kun Yuan 001; Ali H. Sayed (IEEE Trans. Autom. Control., 2021)

Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. - Maria Sofia Bucarelli; Lucas Cassano; Federico Siciliano; Amin Mantrach; Fabrizio Silvestri (CVPR, 2023)