ANN: Reinforce.jl

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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.

In addition to a few toy environments included in the package, there are wrappers for OpenAI’s gym/universe and Atari games.

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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 :slight_smile:

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