VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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.

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

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

Curso de Álgebra Lineal

Curso de Álgebra Lineal

Extensible Combinatorial Optimization Learning Environments

Extensible Combinatorial Optimization Learning Environments

A JuMP extension for Stochastic Dual Dynamic Programming

A JuMP extension for Stochastic Dual Dynamic Programming

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

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.

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.

R.L. methods and techniques.