Connectionists: [new book] Reinforcement Learning: State-of-the-Art

[Otterlo, M. van (Martijn)]

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
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