Forthcoming lecture notes

Table of contents (9 chapters + one appendix, 450 pages)

Foreword by Professor Tamer Basar, University of Illinois at Urbana Champaign
Preface by Professor Eitan Altman, INRIA and University of Avignon
Guide to Students and Instructors:
1. Introduction to learning in robust games
2. Strategy-learning
3. Payoff-learning
4. Combined learning
5. Learning under delayed and noisy measurement
6. Learning under random updates
7. Learning satisfactory solutions
8. Learning global optima
9. Risk-sensitive learning
A. Appendix
A1: Basics on dynamical systems
A2: Basics on stochastic approximations
A3: Differential inclusion
A4: Markovian noise