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 reinforcement learning package for Julia

A Platform for Scalable Modeling and Optimization

Julia package for formulating and analyzing stochastic recourse models.

An energy system optimization model that is flexible, computationally efficient, and academically robust.

The Tulipa Clustering package is a Julia package for finding representative periods and their weights based on time series profiles for the energy sector (e.g., demand, availability, hydro inflows)

Formulation of Roomba localization as a POMDP