Deep Reinforcement Learning with anticipatory reward in LSTM for Collision Avoidance of Mobile Robots

Olivier Poulet, Frédéric Guinand, François Guérin

This article proposes a collision risk anticipation method based on short-term prediction of the agents position. A Long Short-Term Memory (LSTM) model, trained on past trajectorie…