A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)
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Updated
Oct 18, 2024 - Java
A Java 8+ Jar & Android APK Reverse Engineering Suite (Decompiler, Editor, Debugger & More)
Scalable Implementation of Deep CFR and Single Deep CFR
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).
A Docker image with four popular Java decompilers in one place (CFR, Fernflower, Krakatau, and Procyon) 🚀🔨
Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork
Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.。MasterAI v2.0是从MasterAI v1.0衍生出来的迭代算法,它在非完全信息游戏中利用了通用的强化学习+搜索,并在一对一无限押注的德州扑克中实现了超人的表现
Counterfactual Regret Minimization for a simplified version of Texas Hold'em poker
MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.。MasterAI 是Master团队在非完美信息博弈中实现的的一种扑克AI,在德州扑克一对一的有限押注已经取得成果,MasterAI于2020年9月战胜了中国的14位顶级扑克职业选手
MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.
Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.
出售德州AI核心算法和训练大模型,有意者Telegram :@Alibaba401;MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.
Counterfactual Regret Minimization Game solution methods for Julia
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.
This GitHub repository shows data collection and analysis for “Regulatory Fragmentation” paper by Kalmenovitz, Lowry and Volkova, The Journal of Finance (Forthcoming)
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