Finite-Sample Analysis of Distributed Q-learning for Multi-Agent Networks. - Paulo Heredia; Hasan Ghadialy; Shaoshuai Mou (ACC, 2020)

Finite-Sample Analysis of Multi-Agent Policy Evaluation with Kernelized Gradient Temporal Difference. - Paulo Heredia; Shaoshuai Mou (CDC, 2020)

Distributed State Estimation for Nonlinear Systems with Unknown Parameters. - Paulo Heredia; Eloy García 002; Shaoshuai Mou (ACC, 2022)

Distributed Offline Reinforcement Learning. - Paulo Heredia; Jemin George; Shaoshuai Mou (CDC, 2022)

Policy Learning based on Deep Koopman Representation. - Wenjian Hao; Paulo C. Heredia; Bowen Huang; Zehui Lu; Zihao Liang; Shaoshuai Mou (CoRR, 2023)