Benjamin Fele

$Door(s)$: Junction State Estimation for Efficient Exploration in Reinforcement Learning

Exploration is one of the important bottlenecks for efficient learning in reinforcement learning, especially in the presence of sparse rewards. One way to traverse the environment faster is by passing through junctions, or metaphorical doors, in the state space. We propose a novel heuristic, $Door(s…