1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2020
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
Lucas Cassano, Ali H. Sayed
We address the challenge of learning factored policies in cooperative MARL scenarios. In particular, we consider the situation in which a team of agents collaborates to optimize a…
cs.LG2019★ 1 cited
ISL: A novel approach for deep exploration
Lucas Cassano, Ali H. Sayed
In this article we explore an alternative approach to address deep exploration and we introduce the ISL algorithm, which is efficient at performing deep exploration. Similarly to m…
cs.LG2018
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates
Lucas Cassano, Kun Yuan, Ali H. Sayed
This work develops a fully decentralized multi-agent algorithm for policy evaluation. The proposed scheme can be applied to two distinct scenarios. In the first scenario, a collect…