Distributed Strategic Learning for Wireless Engineers

Establishing the link between several theories, this book demonstrates what is needed to learn strategic interaction in wireless networks under uncertainty, randomness, and time delays. This robust game theory cookbook analyzes games where some parameters are uncertain and random. Starting with the fundamentals of strategic learning and game theory, the text then covers partially and fully distributed learning, combined learning for negotiation, bargaining solutions, Nash equilibria, Stackelberg solutions, correlated equilibria, conjectural variations, and satisfactory solutions. It concludes with practical algorithms and techniques to implement game theory in wireless networks.

Hamidou Tembine

Introduction to Learning in Games. Strategy Learning. Payoff Learning and Dynamics. Learning under Delayed Measurement. Learning in Constrained Robust Games. Learning under Random Updates. Fully Distributed Learning for Global Optima. Learning in Risk-Sensitive Games. Appendix.