- What do I need to know to understand this tutorial? https://int8.io/counterfactual-regret-minimization-for-poker-ai/ 5 comments learnmachinelearning
- Counterfactual Regret Minimization - the core of Poker AI beating professional players https://int8.io/counterfactual-regret-minimization-for-poker-ai/ 27 comments poker
Linking pages
- A Nobel worthy game theory problem – Single Lunch https://www.singlelunch.com/2021/10/18/a-nobel-worthy-game-theory-problem/ 0 comments
- Counterfactual Regret Minimization - the core of Poker AI beating professional players int8.io https://int8.io/counterfactual-regret-minimization-for-poker-ai/?href= 0 comments
Linked pages
- Dota 2 https://blog.openai.com/dota-2/ 87 comments
- Deep Blue versus Garry Kasparov - Wikipedia https://en.wikipedia.org/wiki/deep_blue_versus_garry_kasparov#1996_match 53 comments
- AMA: We are Noam Brown and Professor Tuomas Sandholm from Carnegie Mellon University. We built the Libratus poker AI that beat top humans earlier this year. Ask us anything! : MachineLearning https://reddit.com/r/MachineLearning/comments/7jn12v/ama_we_are_noam_brown_and_professor_tuomas/ 42 comments
- An unbeatable computer program has finally solved two-player limit Texas hold'em poker - The Verge http://www.theverge.com/2015/1/8/7516219/texas-hold-em-poker-solved-computer-program-cepheus 8 comments
- Nash equilibrium - Wikipedia https://en.wikipedia.org/wiki/Nash_equilibrium 6 comments
- https://arxiv.org/pdf/1701.01724.pdf 5 comments
- Cepheus Poker Project http://poker.srv.ualberta.ca/ 3 comments
- Rules of Machine Learning: | Google for Developers https://developers.google.com/machine-learning/guides/rules-of-ml#rule_14_starting_with_an_interpretable_model_makes_debugging_easier 1 comment
- https://deepmind.com/blog/deepmind-office-canada-edmonton/ 1 comment
- https://www.riverscasino.com/pittsburgh/BrainsVsAI 0 comments
- Are you OK, Cyberpunk? - Transformers' diagnosis. - int8.io int8.io https://int8.io/are-you-ok-cyberpunk-transformers-diagnosis/ 0 comments
- Monte Carlo Tree Search - beginners guide int8.io https://int8.io/monte-carlo-tree-search-beginners-guide/ 0 comments
- Chess position evaluation with convolutional neural network in Julia - int8.io int8.io http://int8.io/chess-position-evaluation-with-convolutional-neural-networks-in-julia/ 0 comments
- http://science.sciencemag.org/content/early/2017/12/15/science.aao1733 0 comments
- Bellman Equations, Dynamic Programming and Reinforcement Learning (part 1) int8.io https://int8.io/bellman-equations-reinforcement-learning/ 0 comments
- Automatic differentiation for machine learning in Julia - int8.io int8.io https://int8.io/automatic-differentiation-machine-learning-julia/#Dual_Numbers_in_Julia 0 comments
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