Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis

no code implementations • 18 Dec 2023 • Rohan Mitta, Hosein Hasanbeig, Jun Wang, Daniel Kroening, Yiannis Kantaros, Alessandro Abate

This paper addresses the problem of maintaining safety during training in Reinforcement Learning (RL), such that the safety constraint violations are bounded at any point during learning.

Bayesian Inference Reinforcement Learning (RL)