Connectionists: Special issue of Machine Learning journal on "Empirical Evaluations in Reinforcement Learning" is now available

[Shimon Whiteson]

Dear colleagues, 

We are pleased to announce the availability of a special issue of the Machine Learning journal on "Empirical Evaluations in Reinforcement Learning": 

http://www.springerlink.com/content/k176582r5021/ 

The table of contents is listed below.

-Shimon Whiteson and Michael Littman

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Introduction to the special issue on empirical evaluations in reinforcement learning
Shimon Whiteson and Michael L. Littman

On the analysis and design of software for reinforcement learning, with a survey of existing systems
Tim Kovacs and Robert Egginton

Empirical evaluation methods for multiobjective reinforcement learning algorithms
Peter Vamplew, Richard Dazeley, Adam Berry, Rustam Issabekov and Evan Dekker

The first learning track of the international planning competition
Alan Fern, Roni Khardon and Prasad Tadepalli

Informing sequential clinical decision-making through reinforcement learning: an empirical study
Susan M. Shortreed, Eric Laber, Daniel J. Lizotte, T. Scott Stroup and Joelle Pineau, et al.

Reinforcement learning in feedback control: Challenges and benchmarks from technical process control
Roland Hafner and Martin Riedmiller

Policy search for motor primitives in robotics
Jens Kober and Jan Peters

Characterizing reinforcement learning methods through parameterized learning problems
Shivaram Kalyanakrishnan and Peter Stone

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