Tackling Real-World Autonomous Driving using Deep Reinforcement Learning

no code implementations • 5 Jul 2022 • Paolo Maramotti, Alessandro Paolo Capasso, Giulio Bacchiani, Alberto Broggi

In this work, we propose a model-free Deep Reinforcement Learning Planner training a neural network that predicts both acceleration and steering angle, thus obtaining a single module able to drive the vehicle using the data processed by localization and perception algorithms on board of the self-driving car.

Autonomous Driving reinforcement-learning +1

End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning

no code implementations • 28 Apr 2021 • Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell'Eva, Alberto Broggi

Navigating through intersections is one of the main challenging tasks for an autonomous vehicle.

Navigate reinforcement-learning +1