wumingruiye

wumingruiye's Stars

• Farama-Foundation/Gymnasium

  An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

  Language:Python7.7k47486867

• colingogogo/gobang_AI

  基于博弈树α-β剪枝搜索的五子棋AI

  Language:Python72398151

• secureworks/dcept

  A tool for deploying and detecting use of Active Directory honeytokens

  Language:Python498736102

• marl-book/codebase

  Official code repo for the MARL book (www.marl-book.com)

  Language:Python414141063

• CPqD/ofsoftswitch13

  OpenFlow 1.3 switch.

  Language:C30361259192

• samratashok/Deploy-Deception

  A PowerShell module to deploy active directory decoy objects.

  Language:PowerShell22411252

• Limmen/csle

  A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

  Language:Python122610421

• pucrs-automated-planning/pddl-parser

  :snake: Classical Planning in Python

  Language:Python8510324

• jpmorganchase/Phantom

  A Multi-agent reinforcement-learning simulator framework.

  Language:Python6591713

• basel-a/SMET

  SMET : Semantic Mapping of CVE to ATT&CK and its Application to Cybersecurity

  Language:Python38355

• vmayoral/ExploitFlow

  A library to produce cybersecurity exploitation routes (exploit flows). Inspired by TensorFlow.

  Language:Python31502

• zouchangjie/RL-Nash-Q-learning

  强化学习中纳什Qlearning 实现矩阵博弈

  Language:Python283110

• stratosphereips/Ludus

  Apply Machine Learning and Game Theory to improve the security of the Turris network of CZ.NIC

  Language:Python233514

• RDLLab/posggym

  A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.

  Language:Python18412

• kalsheh2/DemandResponse

  Language:Jupyter Notebook12201

• leelening/MulVAL-to-pddl

  Language:Python8100

• psjanani/RLAProject

  Deep Reinforcement Learning

  Language:Python5301

• sailik1991/MTDeep

  [In Progress] Code for the paper-- MTDeep: boosting the security of deep neural nets against adversarial attacks with moving target defense

  Language:Python5302

• JialiWang12/SPGLS

  Language:MATLAB43

• iryabuhin/attack-graph-analysis-demo

  Language:Python3210

• Limmen/TNSM_Learning_IRS_Supplementary

  Supplementary material for "Learning Near-Optimal Intrusion Responses Against Dynamic Attackers" by Hammar & Stadler, 2023, IEEE TNSM

  Language:Python320

• wyz2368/GameModel

  attack graph

  Language:Python3013

• bamille1/PATHATTACK

  Language:Python21

• AIandSocialGoodLab/FeatureDeceptionGame

  Language:Python1100

• erhancanozcan/energy-qcqp-grad

  Language:Python11

• huzyang/public-good-game

  解决公共品博弈，合作和背叛策略下的复杂网络演化过程

  Language:MATLAB1100

• jermcmahan/VISER

  Implementation of the experiments for the VISER framework for information asymmetry

  Language:Jupyter Notebook110

• kaustav-basu/Robust-MICS

  GameSec 2020 Code Files

  Language:Python1201

• orange9426/Tiger

  Algorithms in POMDPs/POSGs

  Language:Python110

• wyz2368/matrix_game_analysis

  Language:Python1101