DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate +2

This paper proposes DeepSynth, a method for effective training of deep Reinforcement Learning (RL) agents when the reward is sparse and non-Markovian, but at the same time progress…