VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

A C++ framework for MDPs and POMDPs with Python bindings

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Curso de Álgebra Lineal

Extensible Combinatorial Optimization Learning Environments

Stochastic Dual Dynamic Programming in Julia

A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

Coding Demos from the School of AI's Move37 Course

An Automata Learning Library Written in Python

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.

Implementation of value iteration algorithm for calculating an optimal MDP policy

🌀 Stanford CS 228 - Probabilistic Graphical Models

WrightEagle Base Code for RoboCup Soccer Simulation 2D

Framework for the simulation and estimation of some finite-horizon discrete choice dynamic programming models.

Reinforcement Learning in JavaScript

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

Online algorithms for solving large-scale dynamic vehicle routing problems with stochastic requests

Implementation of Tsallis Actor Critic method

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing