nuttakitkundum.com

Poker theory, CFR, and learning experiments

Projects

Pick something to explore

Drill

Counting Outs Drill

Practice counting outs across the 9-game mix — Hold'em, Omaha (Hi-Lo), Stud, Razz, and 2-7 Draw. Exact deck-accurate answers, live-card discounting in Stud/Razz, the two-hole-card rule in Omaha, and per-game accuracy tracking.

/outs-drill →
Drill

Stack Journey

Live stack-tracking the way it happens at the table — action streams one card at a time, no rewinding, and the run never stops. Keep a running count through bets, calls, wins, and losses; gold checkpoints test the number you've been holding. Chips and big-blind modes.

/stack-journey →
Learn

Mixed Game Quizzes

Tutorials and self-grading quizzes for all 14 games in the WSOP mixed-event rotations — Hold'em (NL/Limit), Pot-Limit Omaha, Omaha Hi-Lo, Big O, Stud, Stud Hi-Lo, Razz, 2-7 (single + triple draw), A-5 Triple Draw, Badugi, and 5-Card Double Draw. Pick a game, read the rules, then quiz yourself tournament-ready. Includes a hand-rankings reference for high, A-5 low, and 2-7 low.

/mixed-game-quizzes →
CFR

CFR Simulation

Watch a poker bot learn Kuhn poker from scratch via vanilla Counterfactual Regret Minimization. Includes a glossary and live math walkthrough.

/cfr-simulation →
Leduc

Leduc Hold'em — Tabular CFR

One rung above Kuhn — 6 cards, public board, two betting rounds. Same CFR algorithm; converges to ε < 10 mbb/g in seconds. The standard research stepping stone toward NLH.

/leduc-cfr →
Leduc-NL

Leduc-NL — Custom Bet Sizes

Same Leduc engine, but bets come from a menu of pot fractions (½ pot, pot, 2× pot, all-in). Action abstraction at toy scale — the first place the NL bet-sizing problem actually appears.

/leduc-nl-cfr →
Resolver

Leduc-NL Re-solver

Pick a spot, pick a custom bet menu (with sizes that don't exist in the blueprint), click solve. Watch the strategy and EV change. The architecture Pluribus and DeepStack run every decision — at toy scale.

/leduc-nl-resolver →
DeepStack

Leduc DeepStack — Value Network

Train a small MLP to predict round-2 counterfactual values, replacing the blueprint entirely. Compare neural-net predictions against an exact CFR solver. Validates DeepStack-style depth-limited solving at toy scale.

/leduc-deepstack →
Concept

Card Isomorphism

Why suits don't matter (until they do) and how poker solvers exploit suit symmetry for a free 24× speedup. Includes an interactive canonicalizer — type any hand+board and see its equivalence class size live.

/isomorphism →
CFR+

CFR+ on Kuhn Poker

Floor cumulative regret at zero and use weighted strategy averaging — converges roughly an order of magnitude faster than vanilla CFR. Tammelin, 2014.

/cfr-plus →
DCFR

Discounted CFR

Discount past regret and strategy contributions with α/β/γ weights. The modern default for tabular CFR. Brown & Sandholm, 2019.

/dcfr →
Engine

Inside postflop-solver

Code walk through the open-source Rust NLH solver that the author claims beats PioSOLVER and GTO+. Customized DCFR (α=1.5, β=0, γ=3, with a power-of-4 strategy reset), no card abstraction, SIMD-tuned. ~10k lines.

/postflop-solver →
MCCFR

External Sampling MCCFR

Sample a single chance outcome per iteration instead of walking all 6 deals. Trades variance for speed. Lanctot et al., 2009.

/mccfr →
Sampling

MCCFR Variants

Side-by-side comparison of Chance, External, and Outcome sampling — three ways to sample the tree, one clear winner in practice.

/mccfr-variants →
Concept

Deep CFR Explained

Conceptual walkthrough of how CFR drops its lookup table for a neural-network function approximator — and why that lets it scale beyond toy games.

/deep-cfr-explained →
Deep CFR

Deep CFR on Kuhn Poker

Tabular regret tables replaced by a neural network. Same convergence guarantees, no per-info-set bookkeeping. Brown, Lerer, Gross, Sandholm — ICML 2019.

/deep-cfr →
Metrics

Convergence Metrics

Exploitability, average-strategy distance, and other indicators of how CFR approaches Nash equilibrium.

/convergence-metrics →
Poker

Badugi Tutorial

Rules, strategy, and hand rankings for Badugi — a four-card lowball draw game.

/badugi →

Personal Notes

Study notes — not authoritative

Unverified

These are personal study notes written while learning. They have not been peer-reviewed, cite no primary measurements, and may contain mistakes or oversimplifications. Do not cite these as a source. For anything load-bearing, follow the linked papers and original references inside each note.

Quant

Finance papers and asset-pricing notes

Music

Tools for music notation and input

Further Reading

External resources worth your time