The fifth lecture note from Econ, AI, Opt is up: https://t.co/66IGJgJstd This is the payoff lecture for solving matrix games: we convert regret minimizers into algorithms for computing zero-sum Nash equilibrium and look at numerical performance.

- 2월 17, 2020

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The fifth lecture note from Econ, AI, Opt is up: https://t.co/66IGJgJstd

This is the payoff lecture for solving matrix games: we convert regret minimizers into algorithms for computing zero-sum Nash equilibrium and look at numerical performance.
— Christian Kroer (@ChrKroer) February 17, 2020

The fifth lecture note from Econ, AI, Opt is up: https://t.co/66IGJgJstd This is the payoff lecture for solving matrix games: we convert regret minimizers into algorithms for computing zero-sum Nash equilibrium and look at numerical performance. http://twitter.com/ChrKroer/status/1229425438570745856 https://t.co/66IGJgJstd February 18, 2020 at 12:20AM

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The fifth lecture note from Econ, AI, Opt is up: https://t.co/66IGJgJstd This is the payoff lecture for solving matrix games: we convert regret minimizers into algorithms for computing zero-sum Nash equilibrium and look at numerical performance.

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