Solving Imperfect Information Games: Multiplayer Poker AI

A Python implementation of Counterfactual Regret Minimization (CFR).

Python implementation of Corrected Fisher Randomization (CFR)

A microservice for building, modeling, and serializing Hold'em game trees.

Counterfactual regret minimization and Q-Learning for Blackjack and Hearts

To make a constant frame rate MP4 video into a variable frame rate.

这是一个基于 Python 的 MCP (Model Context Protocol) 服务器实现，封装了 `cfr.jar` 反编译功能，并支持 SSE (Server-Sent Events) 传输协议。

This repository is the accompanying code for the paper CFVFP. This paper presents a new algorithm for solving incomplete information games - CFVFP, which has better results than MCCFR in some games. The paper has been accepted by NeurIPS 2024.

Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Scan for secrets, endpoints, and other sensitive data after decompiling and deobfuscating Android files. (.apk, .xapk, .dex, .jar, .class, .smali, .zip, .aar, .arsc, .aab, .jadx.kts).

Scalable Implementation of Deep CFR and Single Deep CFR