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

CVPR 2020 Marin ToromanoffEmilie WirbelFabien 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 of handling a task as difficult as urban driving... (read more)

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