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OverviewFull Product DetailsAuthor: Kaushik BalakrishnanPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781789533583ISBN 10: 1789533589 Pages: 184 Publication Date: 30 March 2019 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Up and Running with Reinforcement Learning Temporal Difference, SARSA, and Q-Learning Deep Q-Network Double DQN, Dueling Architectures, and Rainbow Deep Deterministic Policy Gradient Asynchronous Methods - A3C and A2C Trust Region Policy Optimization and Proximal Policy Optimization Deep RL Applied to Autonomous DrivingReviewsAuthor InformationKaushik Balakrishnan works for BMW in Silicon Valley, and applies reinforcement learning, machine learning, and computer vision to solve problems in autonomous driving. Previously, he also worked at Ford Motor Company and NASA Jet Propulsion Laboratory. His primary expertise is in machine learning, computer vision, and high-performance computing, and he has worked on several projects involving both research and industrial applications. He has also worked on numerical simulations of rocket landings on planetary surfaces, and for this he developed several high-fidelity models that run efficiently on supercomputers. He holds a PhD in aerospace engineering from the Georgia Institute of Technology in Atlanta, Georgia. Tab Content 6Author Website:Countries AvailableAll regions |
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