Agent, Equilibrium and Learning
A Quest Towards Taming the Master Dynamics of Games
Agent, Equilibrium and Learning
A Quest Towards Taming the Master Dynamics of Games
My Ph.D. thesis is concerned with fundamental research in algorithm design for Nash equilibrium learning in multi-agent non-cooperative games. The results of my Ph.D. research have been published in the highest quality journals in the fields of optimization and control.
Below is a collection of inspirational paintings I've used (or considered using) in the thesis. All the paintings are open-source/CC0.