2 papers
cs.LG2026
Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach
Minghao Han, Lixian Zhang, Chenliang Liu +3
This paper presents a novel approach to reinforcement learning (RL) for control systems that provides probabilistic stability guarantees using finite data. Leveraging Lyapunov's me…
cs.SD2024
Cross-Utterance Conditioned VAE for Speech Generation
Yang Li, Cheng Yu, Guangzhi Sun +8
Speech synthesis systems powered by neural networks hold promise for multimedia production, but frequently face issues with producing expressive speech and seamless editing. In res…