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.

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

An Automata Learning Library Written in Python

R.L. methods and techniques.

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.

Implementation of value iteration algorithm for calculating an optimal MDP policy

AWS Last Mile Route Sequence Optimization

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

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Markov Decision Process (MDP) Toolbox for Python

Value iteration, policy iteration, and Q-Learning in a grid-world MDP.

The goal of the project was to design the logistic model of autonomous robots that would supply garment parts from the Cutting Dept to the Makeup Dept in the shortest time possible and using the most optimized path.

Interface for defining discrete and continuous-space MDPs and POMDPs in python. Compatible with the POMDPs.jl ecosystem.

Baum-Welch for all kind of Markov models

Reinforcement Learning with the classic snake game

Reinforcement Learning program that looks to be able to quickly learn to solve a Rubik's Cube