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This semester I'm teaching a new PhD course "Economics, AI, and Optimization." I'll be covering how AI/Opt methods enable large-scale economic solution concepts. http://www.columbia.edu/~ck2945/courses/s20_8100/ … I'm planning to share lectures notes that I hope will be of broader interest.
The first note covers the high-level concepts that the class will be on: http://www.columbia.edu/~ck2945/files/s20_8100/lecture_1.pdf … I'm particularly excited to attempt to give a unified treatment of online learning algorithms for solving large-scale games. Stay tuned!
What is an economic solution concept?
I would say that it's a formal way to predict or prescribe behavior in a setting with multiple actors, potentially with competing goals.
This seems to be a great course. I will be following the lecture notes. Nash equilibrium and Stackelberg are also used in traffic assignment models. (Transportation economics) Are you planning to add anything on dynamic programming/reinforcement learning?
Hmm that's a good point, I should add them to the list of applications, at least for Stackelberg. For Nash I wanted to focus on zero sum applications. I'm not planning to cover RL, though it would be interesting to add.
Thanks a lot for sharing..
Thanks Professor, Looking forward to go throught the lecture notes.
Sounds interesting, looking forward for the lecture notes.
Look forward to follow the lecture notes - thanks for sharing. Very interesting and relevant topic
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