Project Sherlock

Games, Strategy & Play

Card & Probability Games

Decisions with hidden information.

9 topics · 9 curated works

Topics

  • 01Foundations & Overviews1
  • 02Poker Fundamentals1
  • 03Poker Strategy1
  • 04Bluffing & Game Theory Optimal Play1
  • 05Bridge1
  • 06Blackjack & Card Counting1
  • 07Bankroll Management1
  • 08Reading Opponents1
  • 09Variance & Tilt1

Reading in Card & Probability Games

9

A way in

  1. Start here

    No prior grounding assumed.

    Foster's Complete Hoyle

    R. F. Foster · 1897

    Codifies the rules and sound play of every card and table game in common Western use into one reference, on the premise that most players lose not to…

  2. Then

    Assumes you know the vocabulary.

    Foster's Bridge Manual

    R. F. Foster · 1900

    Teaches bridge as a partnership game decided by inference from the bidding, arguing a player's declarations carry as much information as the cards…

    +3 more at this level

  3. Go deeper

    Primary sources and full treatments.

    Optimal Gambling Systems for Favorable Games

    Edward O. Thorp · 1969

    Generalises card counting into a rule for how much of a bankroll to stake on any game where the odds genuinely favour the player, arguing the right…

    +3 more at this level

9 works

Paper2002

The Challenge of Poker

Darse Billings, Aaron Davidson, Jonathan Schaeffer & Duane Szafron

Argues poker is a categorically harder AI problem than chess because hidden information forces a program to reason about risk, deception and a specific opponent rather than simply search deeper.

40 pageslink checked 17 Sept 2026
Paper1998

Opponent Modeling in Poker

Darse Billings, Denis Papp, Jonathan Schaeffer & Duane Szafron

Argues a poker program gains more from a running statistical model of one specific opponent's tendencies than from a better hand-strength calculator, and shows how to update that model hand by hand.

7 pageslink checked 17 Sept 2026

In order written

1897 – 2018
  1. 1897Foster's Complete HoyleR. F. Foster
  2. 1900Foster's Bridge ManualR. F. Foster
  3. 1998Opponent Modeling in PokerDarse Billings, Denis Papp, Jonathan Schaeffer & Duane Szafron
  4. 2002The Challenge of PokerDarse Billings, Aaron Davidson, Jonathan Schaeffer & Duane Szafron
  5. 2017Libratus: The Superhuman AI for No-Limit PokerNoam Brown & Tuomas Sandholm
  6. 2018Deep Counterfactual Regret MinimizationNoam Brown, Adam Lerer, Sam Gross & Tuomas Sandholm

Also covered elsewhere

This subject genuinely sits in more than one domain. These fields approach the same ground with different methods.

Elsewhere in Games, Strategy & Play