Introduction to Learning in Games Basic Elements of Games Robust Games in Networks Basic Robust Games Basics of Robust Cooperative Games Distributed Strategic Learning Distributed Strategic Learning in Wireless Networks Strategy Learning Introduction Strategy Learning under Perfect Action Monitoring Fully Distributed Strategy-Learning Stochastic Approximations Chapter Review Discussions and Open Issues Payoff Learning and Dynamics Introduction Learning Equilibrium Payoffs Payoff Dynamics Routing Games with Parallel Links Numerical Values of Payoffs Are Not Observed Introduction Model and Notations Pseudo-Trajectory Hybrid and Combined Dynamics Learning in Games with Continuous Action Spaces CODIPAS for Stable Games with Continuous Action Spaces 183 CODIPAS-RL via Extremum-Seeking Designer and Users in an Hierarchical System From Fictitious Play with Inertia to CODIPAS-RL . 191 CODIPAS-RL with Random Number of Active Players CODIPAS for Multi-Armed Bandit Problems CODIPAS and Evolutionary Game Dynamics Fastest Learning Algorithms Learning under Delayed Measurement Introduction Learning under Delayed Imperfect Payoffs Reacting to the Interference Learning in Constrained Robust Games Introduction Constrained One-Shot Games Quality of Experience Relevance in QoE and QoS satisfaction Satisfaction Levels as Benchmarks Satisfactory Solution Efficient Satisfactory Solution Learning a Satisfactory Solution From Nash Equilibrium to Satisfactory Solution Mixed and Near-Satisfactory Solution CODIPAS with Dynamic Satisfaction Level Random Matrix Games Mean-Variance Response and Demand Satisfaction Learning under Random Updates Introduction Description of the Random Update Model Fully Distributed Learning Dynamic Routing Games with Random Traffic Extensions Mobility-Based Learning in Cognitive Radio Networks Hybrid Strategic Learning Quiz Chapter Review Fully Distributed Learning for Global Optima Introduction Resource Selection Games Frequency Selection Games User-Centric Network Selection Markov Chain Adjustment Pareto Optimal Solutions Learning in Risk-Sensitive Games Introduction Risk-Sensitive in Dynamic Environment Risk-sensitive CODIPAS Risk-Sensitivity in Networking and Communications Risk-Sensitive Mean Field Learning Extensions Chapter Review Appendix Basics of Dynamical Systems Basics of Stochastic Approximations Differential Inclusion Markovian Noise.