TensorFlow 2 Reinforcement Learning Cookbook
Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
Praveen Palanisamy
BIRMINGHAM—MUMBAI
TensorFlow 2 Reinforcement Learning Cookbook
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First published: January 2021
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ISBN 978-1-83898-254-6
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Contributors
About the author
Praveen Palanisamy works on advancing AI for autonomous systems as a senior AI engineer at Microsoft. In the past, he has developed AI algorithms for autonomous vehicles using deep reinforcement learning, and has worked with start-ups and in academia to build autonomous robots and intelligent systems. He is the inventor of more than 15 patents on learning-based AI systems. He is the author of HOIAWOG: Hands-On Intelligent Agents with OpenAI Gym, which provides a step-by-step guide to developing deep RL agents to solve complex problems from scratch. He has a master's in robotics from Carnegie Mellon University.
About the reviewer
Wilson Choo is a computer vision engineer involved in working on validating computer vision and deep learning algorithms on many different hardware configurations. His strongest skills include algorithm benchmarking, integration, app development, and test automation. He is also a machine learning and computer vision enthusiast. He often researches trending CVDL algorithms and applies them to solve modern-day problems. Aside from this, Wilson likes to participate in hackathons, where he showcases his ideas and competes with other developers. His favorite programming languages are Python and C++.
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