End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances

Marin Toromanoff, Emilie Wirbel, Fabien Moutarde

Reinforcement Learning (RL) aims at learning an optimal behavior policy from its own experiments and not rule-based control methods. However, there is no RL algorithm yet capable o…