We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
The construction of personalised information systems is becoming more important as the quantity of information to be searched increases. The approach taken in this paper involves ...
We consider the policy search approach to reinforcement learning. We show that if a “baseline distribution” is given (indicating roughly how often we expect a good policy to v...
J. Andrew Bagnell, Sham Kakade, Andrew Y. Ng, Jeff...
In the present paper, Wavelet Networks, are proven to be, as well as many other neural paradigms, a speci c case of the generic paradigm named Weighted Radial Basis Functions Netw...
Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyn...
Practical use of MDL is full of pitfalls in which the practitioners tend to fall head over heels. We analyse the power and the perils in the use of MDL. Generally, the classical a...