An Optimization Perspective on Mean-Field Games - Wei Zhang, Ohio State University

An Optimization Perspective on Mean-Field Games - Wei Zhang, Ohio State University

Alan Turing Institute via YouTube Direct link

Intro

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1 of 20

Intro

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An Optimization Perspective on Mean-Field Games - Wei Zhang, Ohio State University

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  1. 1 Intro
  2. 2 Overview
  3. 3 Mean Field Games: Approximate Nash
  4. 4 Mean Field Games: Existing Literature
  5. 5 Cyber-Physical Social Systems
  6. 6 Atomic Splittable Routing Game
  7. 7 Limitations of Existing Literature
  8. 8 A Class of Mean-Field Games in Vector Space
  9. 9 Example 1: Constrained LQR Game
  10. 10 Example II: PEV Charging
  11. 11 Example IV: Continuous-Time LOG
  12. 12 Mean Field Equation for Finite Agents
  13. 13 Main Results
  14. 14 Mean-Field Equilibrium Computation
  15. 15 PEV Charging Example (Revisited)
  16. 16 Splittable Congestion Game (Revisited)
  17. 17 Extensions to Nonconvex Case
  18. 18 Non-Convex Example
  19. 19 Connections to Potential Game
  20. 20 Conclusions

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