Calin Belta and Max Cohen had two journal papers published on safe reinforcement learning using control barrier functions
Calin Belta and Max Cohen recently had two journal papers published on safe reinforcement learning using control barrier functions that may be nice to include in the monthly news for the lab. The information for each paper is as follows:
Max H. Cohen and Calin Belta, “Safe Exploration in Model-based Reinforcement Learning using Control Barrier Functions,” Automatica, vol. 147, p. 110684, 2023.
DOI: https://doi.org/10.1016/j.automatica.2022.110684
Max H. Cohen, Zachary Serlin, Kevin Leahy, and Calin Belta, “Temporal Logic Guided Safe Model-based Reinforcement Learning: A Hybrid Systems Approach,” Nonlinear Analysis: Hybrid Systems, vol. 47, p. 101295, 2023.
DOI: https://doi.org/10.1016/j.nahs.2022.101295