Reinforce is an interface/toolset for Reinforcement Learning in Julia. It is intended to connect general modular environments, policies, and solvers with a simple interface. Episode iteration and custom algorithms are easy to create and apply to many types of environments. Both MDP and POMDP problems can be supported.
It’s a pretty amazing machine-learning toolkit you guys at JuliaML are building. How does one go about starting to learn how to use all of that?
There is a docs repo that looks like it may be expanded in the future https://juliaml.github.io/ and of course one could always clone the repos and start hacking but I am hoping there is a shortcut