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Transfer in Reinforcement Learning Domains
In reinforcement learning (RL) problems, learning agents sequentially execute actions with the goal of maximizing a reward signal. The RL framework has gained popularity with the development of algorithms capable of mastering increasingly complex problems, but learning difficult tasks is often slow or infeasible when RL agents begin with no prior knowledge. The key insight behind "transfer learning" is that generalization may occur not only within tasks, but also across tasks. While transfer has been studied in the psychological literature for many years, the RL community has only recently begun to investigate the benefits of transferring knowledge. This book provides an introduction to the ...
Decadent Developmentalism
Complementarities between political and economic institutions have kept Brazil in a low-level economic equilibrium since 1985.
Sport and the Home Front
Sport and the Home Front contributes in significant and original ways to our understanding of the social and cultural history of the Second World War. It explores the complex and contested treatment of sport in government policy, media representations and the everyday lives of wartime citizens. Acknowledged as a core component of British culture, sport was also frequently criticised, marginalised and downplayed, existing in a constant state of tension between notions of normality and exceptionality, routine and disruption, the everyday and the extraordinary. The author argues that sport played an important, yet hitherto neglected, role in maintaining the morale of the British people and prov...
Dogs
Xiaoming Wang and Richard H. Tedford combine their research with Mauricio Anton's impeccable reconstructions to present a remarkable portrait of canids over the past 40 million years. Wang and Tedford cull their history from the most recent scientific research conducted on the vast collections of the American Museum of Natural History and other leading institutions. With their rich fossil record, diverse adaptations to various environments, and different predatory specializations, canids are an ideal model organism for the mapping of predator behavior and morphological specializations. They also offer an excellent contrast to felids, which remain entrenched in extreme predatory specializations. The innovative illustrated approach of this book transforms the science of paleontology into a thrilling visual experience, and it forms the perfect accompaniment to an extremely important branch of animal and fossil study.
The Gospel of Matthew and the Sayings Source Q
The present Bibliography covers the research on the Gospel of Matthew and on the Gospel Source Q from 1950 to 1995. The new volume has adopted the model of the previously published The Gospel of Mark. A Cumulative Bibliography 1950-1990. It contains about 15.000 entries and is arranged alphabetically by name of author; the author's works are given in chronological order. Each entry includes the complete bibliographical references, information about reprints, new editions and translations, and summary indications of the content (Gospel passage, subject). The companion volume furnishes detailed Indexes of Gospel Passages and Subject matters related to Mt and to Q. All indexes are prepared by J. Verheyden. The Bibliography completes the series of Leuven repertories on the Gospels published in BETL 82 (John, 1988), 88 (Luke, 1989). and 102 (Mark, 1992).
Lifelong Machine Learning
Lifelong Machine Learning (or Lifelong Learning) is an advanced machine learning paradigm that learns continuously, accumulates the knowledge learned in previous tasks, and uses it to help future learning. In the process, the learner becomes more and more knowledgeable and effective at learning. This learning ability is one of the hallmarks of human intelligence. However, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model. It makes no attempt to retain the learned knowledge and use it in future learning. Although this isolated learning paradigm has been very successful, it requir...
ECAI 2023
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrat...
Lifelong Machine Learning, Second Edition
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and use it in subsequent learning. Unlike this isolated system, humans learn effectively with only a few examples precisely because our learning is very knowledge-driven: the knowledge learned in the past he...
No/One #5
As Julia struggles with the reaction to her podcast and Ben’s investigation hits yet another wall, a shocking development in the case of Richard Roe threatens to upend everything—and may bring NO/ONE even closer to the light. PLUS! The story continues in “Who is No/One,” a monthly companion podcast starring RACHAEL LEIGH COOK (She’s All That) and PATTON OSWALT (Netflix’s The Sandman, Minor Threats, Marvel’s M.O.D.O.K.)! NO/ONE is a Massive-Verse series.
