markov-decision-processes

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Curso de Álgebra Lineal

Extensible Combinatorial Optimization Learning Environments

A JuMP extension for Stochastic Dual Dynamic Programming

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

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

R.L. methods and techniques.

An Automata Learning Library Written in Python

Coding Demos from the School of AI's Move37 Course

🌲 Stanford CS 228 - Probabilistic Graphical Models

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.

WrightEagle Base Code for RoboCup Soccer Simulation 2D

Implementation of value iteration algorithm for calculating an optimal MDP policy

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

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

Reinforcement Learning in JavaScript

Reinforcement Learning Short Course