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Baiyu Peng
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2020 – today
- 2024
- [j1]Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn. Syst. 35(1): 466-478 (2024) - [i6]Baiyu Peng, Aude Billard:
Learning General Continuous Constraint from Demonstrations via Positive-Unlabeled Learning. CoRR abs/2407.16485 (2024) - [i5]Baiyu Peng, Aude Billard:
Positive-Unlabeled Constraint Learning (PUCL) for Inferring Nonlinear Continuous Constraints Functions from Expert Demonstrations. CoRR abs/2408.01622 (2024) - 2021
- [c2]Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen:
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CDC 2021: 4694-4700 - [c1]Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. IV 2021: 193-199 - [i4]Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen:
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. CoRR abs/2102.08539 (2021) - [i3]Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun:
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. CoRR abs/2108.11623 (2021) - 2020
- [i2]Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng:
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR abs/2003.00848 (2020) - [i1]Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen:
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CoRR abs/2012.10716 (2020)
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