Baiyu Peng

According to our database, Baiyu Peng authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Enxin Sun

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Positive-Unlabeled Constraint Learning (PUCL) for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations.

Baiyu Peng, Aude Billard

CoRR, 2024

Learning General Continuous Constraint from Demonstrations via Positive-Unlabeled Learning.

Baiyu Peng, Aude Billard

CoRR, 2024

2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.

Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Model-Based Actor-Critic with Chance Constraint for Stochastic System.

Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.

Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng

CoRR, 2020