Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Yao Mu 001; Shengbo Eben Li; Chang Liu 002; Qi Sun 004; Bingbing Nie; Bo Cheng 003; Baiyu Peng (CoRR, 2020)

Model-Based Actor-Critic with Chance Constraint for Stochastic System. - Baiyu Peng; Yao Mu 001; Yang Guan; Shengbo Eben Li; Yuming Yin; Jianyu Chen (CDC, 2021)

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. - Baiyu Peng; Yao Mu 001; Jingliang Duan; Yang Guan; Shengbo Eben Li; Jianyu Chen (IV, 2021)

Positive-Unlabeled Constraint Learning (PUCL) for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations. - Baiyu Peng; Aude Billard (CoRR, 2024)

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. - Baiyu Peng; Jingliang Duan; Jianyu Chen; Shengbo Eben Li; Genjin Xie; Congsheng Zhang; Yang Guan; Yao Mu 001; Enxin Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Positive-Unlabeled Constraint Learning for Inferring Nonlinear Continuous Constraints Functions From Expert Demonstrations. - Baiyu Peng; Aude Billard (IEEE Robotics Autom. Lett., 2025)