TTR-Based Rewards for Reinforcement Learning with Implicit Model Priors. - Xubo Lyu; Mo Chen 001 (CoRR, 2019)

TTR-Based Reward for Reinforcement Learning with Implicit Model Priors. - Xubo Lyu; Mo Chen 001 (IROS, 2020)

MBB: Model-Based Baseline for Efficient Reinforcement Learning. - Xubo Lyu; Site Li; Seth Siriya; Ye Pu; Mo Chen 001 (CoRR, 2020)

Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (CoRR, 2022)

Task-Oriented Koopman-Based Control with Contrastive Encoder. - Xubo Lyu; Hanyang Hu; Seth Siriya; Ye Pu; Mo Chen 001 (CoRL, 2023)

Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. - Xubo Lyu; Amin Banitalebi-Dehkordi; Mo Chen 001; Yong Zhang 004 (IROS, 2023)

Learning Robust Policies via Interpretable Hamilton-Jacobi Reachability-Guided Disturbances. - Hanyang Hu; Xilun Zhang; Xubo Lyu; Mo Chen 001 (CoRR, 2024)