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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core, online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new for the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

What it means to design at a time when, for many people, the future seems to have become an impossibility. When reality fails us, what can design do? Question design s relationship to reality, as Anthony Dunne and Fiona Raby do, in this exhilarating, yet thoughtful journey to the edges of science, philosophy, and literature to find new ways of thinking about the possible and about the meaning, function, and place of design in that speculative world of 'not here, not now.' A conceptual travelogue of sorts, Not Here, Not Now brings together words, images, and objects that capture, in design form, some of the ideas encountered along the way. Itself a design experiment, the book explores ways to bring these ideas into conversation with objects through imagined archives, libraries, glossaries, taxonomies, lists, tales, and essays. The design responses in Not Here, Not Now to a stone raft, e.g., or a vegetable lamb, swatches of imaginary colors, a pocket universe in the home, objects undergoing space-time collapse are, like the most compelling utopias, impossible by design, aiming instead to nourish the creative, intellectual, and imaginative ground from which new possibilities, still unknown, might begin to emerge.

The first volume of two in a new, updated edition of the 2012 book Playing at the World, which charts the vast and complex history of role-playing games. This new edition of Playing at the World is the first of two volumes that update the 720-page original tome of the same name from 2012. This first volume is The Invention of Dungeons & Dragons, which explores the publication of that iconic game. (The second volume is The Three Pillars of Role-Playing Games, a deeper dive into the history of the setting, system, and character of D & D.) In this first volume, Jon Peterson distills the story of how the wargaming clubs and fanzines circulating around the upper Midwest in the 1970s culminated in Gary Gygax and Dave Arneson s seminal role-playing game, D & D. It augments the research of the original editions with new insights into the crucial period in 1972 3 when D & D began to take shape. Drawing from primary sources ranging from eighteenth-century strategists to modern hobbyists, Playing at the World explores the origins of wargames and roleplaying through the history of conflict simulations and the eccentric characters who drove the creation of a signature cultural innovation in the late twentieth century. Filled with unparalleled archival research (from obscure fanzines to letters, drafts, and other ephemera), this new edition of Playing at the World is the ultimate geek s guide to the original RPG. As such, it is an indispensable resource for academics and game fans exploring the origins of the hobby.

An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions.Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.