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Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: New.

Paperback. Condizione: new. Paperback. Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the worlds leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses on the subject of deep reinforcement learning. The aim of this book is to provide an overview of the field, at the proper level of detail for a graduate course in artificial intelligence. It covers the complete field, from the basic algorithms of Deep Q-learning, to advanced topics such as multi-agent reinforcement learning and meta learning. Deep reinforcement learning has attracted considerable attention recently. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects desired behavior can be reinforced with positive and negative stimuli. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Paperback or Softback. Condizione: New. Advances in Computer Games: 14th International Conference, Acg 2015, Leiden, the Netherlands, July 1-3, 2015, Revised Selected Papers. Book.

Paperback or Softback. Condizione: New. Advances in Computer Games: 13th International Conference, Acg 2011, Tilburg, the Netherlands, November 20-22, 2011, Revised Selected Papers. Book.

Condizione: Gebraucht / Used. Paperback. 158pp. owner's blind book stamp on the flyleaf.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 7th International Conference on Computers and Games, CG 2010, held in Kanazawa, Japan, in September 2010.The 24 papers presented were carefully reviewed and selected for inclusion in this book. They cover a wide range of topics such as monte-carlo tree search, proof-number search, UCT algorithm, scalability, parallelization, opening books, knowledge abstraction, solving games, consultation of players, multi-player games, extraversion, and combinatorial game theory. In addition a wide range of computer games is dealt with, such as Chinese Checkers, Chinese Chess, Connect6, Go, Havannah, Lines of Action, Pckomino, Shogi, Surakarta, and Yahtzee. They cover a wide range of topics such as monte-carlo tree search, proof-number search, UCT algorithm, scalability, parallelization, opening books, knowledge abstraction, solving games, consultation of players, multi-player games, extraversion, and combinatorial game theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New. In English.

PF. Condizione: New.

PF. Condizione: New.

Paperback. Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. In English.