Baoluo Li

Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction

This paper presents a model-free reinforcement learning (RL) algorithm to synthesize a control policy that maximizes the satisfaction probability of complex tasks, which are expressed by linear temporal logic (LTL) specifications. Due to the consideration of environment and motion uncertainties, we…