2026
Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint)
AAAI 2026technical
This paper proposes DeepSynth, a method for effective training of deep reinforcement learning agents when the reward is sparse or non-Markovian, but at the same time progress towards the reward requires achieving an unknown sequence of high-level objectives. Our method employs a novel algorithm for