5 citations · 9 across the 4 of their papers we have counts for
5 papers
Achieving Sample Complexity for Bilinear Systems Identification under Bounded Noises
Hongyu Yi, Chenbei Lu, Jing Yu
This paper studies finite-sample set-membership identification for discrete-time bilinear systems under bounded symmetric log-concave disturbances. Our analysis considers trajector…
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
Chenbei Lu, Zaiwei Chen, Tongxin Li +2
Traditional reinforcement learning (RL) assumes the agents make decisions based on Markov decision processes (MDPs) with one-step transition models. In many real-world applications…
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
Chenbei Lu, Laixi Shi, Zaiwei Chen +2
Reinforcement Learning (RL) algorithms are known to suffer from the curse of dimensionality, which refers to the fact that large-scale problems often lead to exponentially high sam…
Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Haoxiang Wang, Jiasheng Zhang, Chenbei Lu +1
Smart meter devices enable a better understanding of the demand at the potential risk of private information leakage. One promising solution to mitigating such risk is to inject no…
Effective End-to-End Learning Framework for Economic Dispatch
Chenbei Lu, Kui Wang, Chenye Wu
Conventional wisdom to improve the effectiveness of economic dispatch is to design the load forecasting method as accurately as possible. However, this approach can be problematic…