3 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.RO2023
Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework
Weiqin Zu, Wenbin Song, Ruiqing Chen +5
The socially-aware navigation system has evolved to adeptly avoid various obstacles while performing multiple tasks, such as point-to-point navigation, human-following, and -guidin…
cs.SD2023
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…