A
Ahmad A. Al Sallab
Researcher at Valeo
Publications - 2
Citations - 784
Ahmad A. Al Sallab is an academic researcher from Valeo. The author has contributed to research in topics: Feature learning & Reinforcement learning. The author has an hindex of 2, co-authored 2 publications receiving 183 citations.
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Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran,Ibrahim Sobh,Victor Talpaert,Patrick Mannion,Ahmad A. Al Sallab,Senthil Yogamani,Patrick Pérez +6 more
TL;DR: This review summarises deep reinforcement learning algorithms, provides a taxonomy of automated driving tasks where (D)RL methods have been employed, highlights the key challenges algorithmically as well as in terms of deployment of real world autonomous driving agents, the role of simulators in training agents, and finally methods to evaluate, test and robustifying existing solutions in RL and imitation learning.
Posted Content
Deep Reinforcement Learning for Autonomous Driving: A Survey
B Ravi Kiran,Ibrahim Sobh,Victor Talpaert,Patrick Mannion,Ahmad A. Al Sallab,Senthil Yogamani,Patrick Pérez +6 more
TL;DR: The authors provides a taxonomy of automated driving tasks where deep reinforcement learning (DRL) methods have been employed, while addressing key computational challenges in real world deployment of autonomous driving agents and delineates adjacent domains such as behavior cloning, imitation learning, inverse reinforcement learning that are related but are not classical RL algorithms.