2021
Modular Deep Reinforcement Learning for Continuous Motion Planning With Temporal Logic
RA-L 2021
This letter investigates the motion planning of autonomous dynamical systems modeled by Markov decision processes (MDP) with unknown transition probabilities over continuous state and action spaces. Linear temporal logic (LTL) is used to specify high-level tasks over infinite horizon, which can be c