In this episode, I talk about game theory optimal (GTO) solvers and trainers, how you can simplify their outputs when you study, why I do *not* think trainers will be used as real-time assistance (RTA), and more.
Timestamps:
0:00 Intro
0:58 Rounding Strategies
8:55 Simplifying Bet Sizes
15:45 Betting Your Entire Range
20:25 Why Trainers Won't Be Used as RTA
31:41 Which Trainer Is Best?
32:26 Making a Study Plan
34:59 Will Solvers or AI Kill Poker?
37:37 Learning Types
40:54 Does a Solver Have a Positive Red Line?
43:56 How To Explain a Solver's Actions
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