Deep Reinforcement Learning for Autonomous Driving: A Survey

no code implementations • 2 Feb 2020 • B Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Yogamani, Patrick Pérez

With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in high dimensional environments.

Autonomous Driving Deep Reinforcement Learning +5

Exploring applications of deep reinforcement learning for real-world autonomous driving systems

no code implementations • 6 Jan 2019 • Victor Talpaert, Ibrahim Sobh, B Ravi Kiran, Patrick Mannion, Senthil Yogamani, Ahmad El-Sallab, Patrick Perez

Deep Reinforcement Learning (DRL) has become increasingly powerful in recent years, with notable achievements such as Deepmind's AlphaGo.

Autonomous Driving Deep Reinforcement Learning +2

Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps

no code implementations • 28 Sep 2018 • B Ravi Kiran, Luis Roldão, Benat Irastorza, Renzo Verastegui, Sebastian Suss, Senthil Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard

In this paper, we discuss real-time dynamic object detection algorithms which leverages previously mapped Lidar point clouds to reduce processing.

Autonomous Driving Clustering +3