Almost Sure Convergence to Approximate Nash Equilibrium in Zero-Sum Extensive-Form Games with Noisy Feedback
Author:
Affiliation:
1. School of Automation, Beijing Institute of Technology,National Key Laboratory of Autonomous Intelligent Unmanned Systems,Beijing,China,100081
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10591777/10591797/10591936.pdf?arnumber=10591936
Reference22 articles.
1. Regret minimization in games with incomplete information;Zinkevich,2007
2. Player of games;Schmid;arXiv,2021
3. Solving heads-up limit Texas holdem;Tammelin,2015
4. Solving Imperfect-Information Games via Discounted Regret Minimization
5. Monte Carlo sampling for regret minimization in extensive games;Lanctot,2020
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