Understanding Algorithmic Game Theory Lecture 17 No Regret Dynamics
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Key Takeaways about Algorithmic Game Theory Lecture 17 No Regret Dynamics
- Introduction. The 2012 Olympic badminton scandal. Selfish routing and Braess's Paradox. Can strategic players learn a Nash ...
- DSIC sponsored search auctions. Knapsack auctions and
- Black-box reduction from swap
- Characterization of single-parameter DSIC mechanisms (Myerson's Lemma). Full course playlist: ...
- Case study: wireless spectrum auctions. Full course playlist: ...
Detailed Analysis of Algorithmic Game Theory Lecture 17 No Regret Dynamics
Mechanism design basics. How would you bid in a first-price auction? The Vickrey auction and dominant-strategy ... Case study: network over-provisioning. A bicriteria bound for nonatomic routing networks. POA bounds for atomic routing ... Beyond quasi-linearity. The clinching auction for bidders with budgets. The top trading cycle
Best-response
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