Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior

Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte +1

Many real-world reinforcement learning (RL) problems necessitate learning complex, temporally extended behavior that may only receive reward signal when the behavior is completed.…