2023
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows
IROS 2023poster
We propose an automata-theoretic approach for reinforcement learning (RL) under complex spatio-temporal constraints with time windows. The problem is formulated using a Markov decision process under a bounded temporal logic constraint. Different from existing RL methods that can eventually learn opt…