Baosen Zhang

Learning Temporal Dependence from Time-Series Data with Latent Variables

2016

We consider the setting where a collection of time series, modeled as random processes, evolve in a causal manner, and one is interested in learning the graph governing the relationships of these processes. A special …

Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks

2020 · arXiv (Cornell University)

This paper focuses on finding reinforcement learning policies for control systems with hard state and action constraints. Despite its success in many domains, reinforcement learning is challenging to apply to problems with hard constraints, especially …