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

Implementation of a drone surveillance problem with POMDPs.jl

Problem models for testing POMDPs.jl

A Julia package for solving POMDPs with belief compression. Part of the POMDPs.jl community.

A continuous gridworld-like MDP for education.

QMDP Solvers for POMDPs

Incremental pruning solver for partially observable Markov decision processes

Implement the rock sample problem using POMDPs.jl

Implementation of the Deep Q-learning algorithm to solve MDPs

Julia implementations of temporal difference Reinforcement Learning algorithms like Q-Learning and SARSA