Dear Colleagues, We are proud to announce a new book, titled "Reinforcement learning: State-of-the-art", edited by Marco Wiering and Martijn van Otterlo. All chapters are survey chapters on the major contemporary sub-areas of reinforcement learning. The list of contributing authors and reviewers contains many leading experts in reinforcement learning, and the book features a foreword by Rich Sutton. It is now online at Springer, and the hardcover version is about to appear.
Topics surveyed in the book include: continuous state/action representation, hierarchical approaches, predictive representations, multi-agent algorithms, structured knowledge representation, POMDPs, DEC-POMDPs, Bayesian approaches, policy gradient, games, robotics, biological foundations, sample complexity, transfer learning, batch learning, model-based algorithms, and evolutionary approaches. Springer, Adaptation, Learning, and Optimization series, Vol. 12 ISBN 978-3-642-27644-6 2012, 2012, XXXIV, 638 p. 87 illus., 39 in color. http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-27644-6 http://www.springerlink.com/content/978-3-642-27645-3 Best Regards, Martijn van Otterlo and Marco Wiering. -- Martijn van Otterlo Artificial Intelligence Radboud University Nijmegen The Netherlands http://www.socsci.ru.nl/~martijvo "Don't say it's just your personal opinion; you have no other" (Bomans). _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
