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Bayesian Reinforcement Learning
Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. This monograph provides the reader with an in-depth review of the role of Bayesian methods for the reinforcement learning (RL) paradigm. The major incentives for incorporating Bayesian reasoning in RL are that it provides an elegant approach to action-selection (exploration/exploitation) as a function of the uncertainty in learning, and it provides a machinery to incorporate prior knowledge into the algorithms. Bayesian Reinforcement Learning: A Survey first discusses models and methods for Bayesian inference in the simple single-step Bandit model. It then reviews the extensive recent literature on Bayesian methods for model-based RL, where prior information can be expressed on the parameters of the Markov model. It also presents Bayesian methods for model-free RL, where priors are expressed over the value function or policy class. Bayesian Reinforcement Learning: A Survey is a comprehensive reference for students and researchers with an interest in Bayesian RL algorithms and their theoretical and empirical properties.
Distributional Reinforcement Learning
The first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinking about decisions from a probabilistic perspective. Distributional reinforcement learning is a new mathematical formalism for thinking about decisions. Going beyond the common approach to reinforcement learning and expected values, it focuses on the total reward or return obtained as a consequence of an agent's choices—specifically, how this return behaves from a probabilistic perspective. In this first comprehensive guide to distributional reinforcement learning, Marc G. Bellemare, Will Dabney, and Mark Rowland, who spearheaded development of the field, present its key...
The Sand Soldiers
At the end of World War II, a time of suspense and underground warfare rages between the various opposing camps in Palestine. The British Mandate is in its dying days, and within the Jewish population, the yearning to create a Jewish state is fermenting.
Yotvata
This book presents the final report of the excavations at Yotvata, the largest oasis in the Arabah Valley, conducted by the Sonia and Marco Nadler Institute of Archaeology of Tel Aviv University in 1974–1980 under the direction of Dr. Zeʾev Meshel. The report covers two central sites: a fortified Iron I site and an Early Islamic settlement. The Iron I remains consist of an irregular casemate wall surrounding a courtyard. The location of this site suggests that the settlement was established in order to protect the water sources and to overlook and supervise the nearby crossroads. Based on the relative proximity of the site to Timna, it may be concluded that the oasis formed the main sourc...
Recovered Roots
Because new nations need new pasts, they create new ways of commemorating and recasting select historic events. In Recovered Roots, Yael Zerubavel illuminates this dynamic process by examining the construction of Israeli national tradition. In the years leading to the birth of Israel, Zerubavel shows, Zionist settlers in Palestine consciously sought to rewrite Jewish history by reshaping Jewish memory. Zerubavel focuses on the nationalist reinterpretation of the defense of Masada against the Romans in 73 C.E. and the Bar Kokhba revolt of 133-135; and on the transformation of the 1920 defense of a new Jewish settlement in Tel Hai into a national myth. Zerubavel demonstrates how, in each case,...
Begin
Whenever the name of Menachem Begin is mentioned, people of all ages and persuasions respond in the same way: "We need him now." What is it that "we need"; what is missing? Perhaps Menachem Begin's most important and unique contribution to the Jewish People was Supreme Patriotism. More and more frequently we hear and read accounts that show a loss of national will quite contrary to the spirit of Patriotism, which--in the words of Harav Kook, the Chief Rabbi of Eretz Israel in the 1920s, and of Menachem Begin throughout his political career--once reverberated throughout the land and the universe, "AHAVAT ISRAEL" and "AHAVAT ERETZ ISRAEL" The love of the people of Israel and the Land of Israel. This type of Jewish leadership today is lacking, and it is here that "we need him now." We miss his deep faith, his courage, and his Jewish pride. Yet, above all, Begin is missed because of his personal qualities of modesty, integrity, truthfulness, devotion, and adherence to principle, no matter how difficult or unpopular. For all these reasons and more we need him now.
Cognitive Machine Intelligence
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine lear...
Deep Reinforcement Learning
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 world’s 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 sub...
