jaromiru

AI-blog

Accompanying repository for Let's make a DQN / A3C series.

cwcf

Source code for paper Classification with Costly Features using Deep Reinforcement Learning.

NASimEmu

Gym-based environment for training offensive RL agents. Agents can generalize to unseen scenarios and simulation-trained agents can be deployed in the emulation. Related repo: https://github.com/jaromiru/NASimEmu-agents

sr-drl

Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks

ai_examples

AI examples with TensorFlow, Keras

NASimEmu-agents

Deep RL agents for NASimEmu. See also https://github.com/jaromiru/NASimEmu.

RL

Reinforcement Learning: An Introduction SE (Sutton, Barto) - Programming Excercises

rcwcf

Classification with Costly Features in Hierarchical Deep Sets

deep_reader

Can a plain neural network read text from images?

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

awesome-rl-for-cybersecurity

A curated list of resources dedicated to reinforcement learning applied to cyber security.

CyberBattleSim

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

FeatureBudgetedRandomForest

code for paper "Feature-Budgeted Random Forest" ICML 2015

gym-sokoban

Sokoban environment for OpenAI Gym

jaromiru.com

Personal blog

NetworkAttackSimulator

A environment for testing AI agents against a simulated Network.

Opportunistic

OpportunisticData

pymetasploit3

Automation library for Metasploit