This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a de

This introduction to some of the principal models in the theory of disordered systems leads the reader through the basics, to the very edge of contemporary rese

This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, whilst linking theory to real-world applicatio

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The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig