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About This Book Explore deep reinforcement learning (RL), from the first principles to the latest algorithms Evaluate high-profile RL methods, including value iteration, deep Q-networks, policy gradients, TRPO, PPO, DDPG, D4PG, evolution strat[...]
ISBN (or other code): 978-1-78883-424-7 Article on page: XVI, 523 p. Descriptors: Class number: 006.31 Tags: Reinforcement learning ; Machine learning ; Artificial intelligence--Computer programs ; Natural language processing ; Algorithms Languages: English 
Books
Edmund Burke, Editor ; Peter Ross, Editor | Wien : Springer Nature | Lecture notes in computer science, ISSN 0302-9743 | 1995This book contains a selection of strictly refereed papers presented at the First International Conference on the Practice and Theory of Automated Timetabling, held in Edinburgh, UK, August/September 1995. This is the first book entirely devoted[...]
ISBN (or other code): 978-3-540-61794-5 Article on page: XIII, 379 p. Class number: 658.5/3 Tags: Artificial intelligence--Computer programs ; Electronic data processing ; Cybernetics ; Bionics ; Genetics Languages: English
