2020
Exploration in Reinforcement Learning with Deep Covering Options
ICLR 2020poster
While many option discovery methods have been proposed to accelerate exploration in reinforcement learning, they are often heuristic. Recently, covering options was proposed to discover a set of options that provably reduce the upper bound of the environment's cover time, a measure of the difficulty…