implementation of regret matching and counter factual regret minimization algorithms
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Updated
Sep 2, 2020 - Python
implementation of regret matching and counter factual regret minimization algorithms
Analyzing Betting Game and its applications specially in poker
A python implementaion of Counterfactual Regret Minimization using numba
A Django webapp that allows you to play against an AI at the game of heads-up limit Texas Hold'em.
CFR repo written with exectution time in mind using C. Repo contains implementations of different CFR variants that can be used with different imperfect information games.
Implemented the Vanilla CFR algo on subgames of poker like Kunh Poker and Shortest Deck. Additionally has a crude implementation of a Heads Up No Limit Hold'em solver.
Notebooks containing implementations of counterfactual regret minimization to solve games of incremental complexity
A open-source Rust library to play, learn, solve, and analyze No-Limit Texas Hold Em.
Deriving an optimal Blackjack strategy using Tammelin's counterfactual regret minimization algorithm (CFR+) and modern C++.
Setback card game. (Also called Auction Pitch.)
A third year uni project aiming to implement and evaluate the EFR algorithm with different deviation types and explore a potential tradeoff between exploitability and expected value of a strategy in practice.
A poker solver written in rust
Eschewing importance Sampling by Computing a History value function to Estimate Regret
cfrx is a collection of algorithms and tools for hardware-accelerated Counterfactual Regret Minimization (CFR) algorithms in Jax.
Counterfactual Regret Minimization Game solution methods for Julia
Counterfactual Regret Minimization for a simplified version of Texas Hold'em poker
Implementation of Pluribus by Noam Brown & Tuomas Sandholm, introduced in the paper "Superhuman AI for multiplayer poker".
Implementation of counterfactual regret minimization (CFR) for Texas hold'em poker
C++ implementations of Counterfactual Regret Minimization and Monte Carlo CFR
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