Sean R. Levy

Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping

The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effective when the environment is completely unknown. However, in cases where prior statistical data on the environment's ar…