Lucas Cassano

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Gaussian Kernels

Reinforcement Learning

Convergence Rate

Multi Agent Reinforcement Learning

Top Venues

Publications

Maria Sofia Bucarelli, Lucas Cassano, Federico Siciliano, Amin Mantrach, Fabrizio Silvestri
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels. CVPR (2023)
Lucas Cassano, Ali H. Sayed
Logical Team Q-learning: An approach towards factored policies in cooperative MARL. AISTATS (2021)
Lucas Cassano, Kun Yuan, Ali H. Sayed
Multiagent Fully Decentralized Value Function Learning With Linear Convergence Rates. IEEE Trans. Autom. Control. 66 (4) (2021)
Lucas Cassano, Ali H. Sayed
Logical Team Q-learning: An approach towards factored policies in cooperative MARL. CoRR (2020)
Lucas Cassano, Kun Yuan, Ali H. Sayed
Distributed Value-Function Learning with Linear Convergence Rates. ECC (2019)
Lucas Cassano, Ali H. Sayed
ISL: Optimal Policy Learning With Optimal Exploration-Exploitation Trade-Off. CoRR (2019)
Lucas Cassano, Sulaiman A. Alghunaim, Ali H. Sayed
Team Policy Learning for Multi-agent Reinforcement Learning. ICASSP (2019)
Lucas Cassano, Kun Yuan, Ali H. Sayed
Multi-Agent Fully Decentralized Off-Policy Learning with Linear Convergence Rates. CoRR (2018)