Paper in Journal of Parallel and Distributed Computing (JPDC) is accepted!

Congrats to Michael T. Young (Todd) for getting his first author paper accepted to the Journal of Parallel & Distributed Computing (JPDC). The paper focuses on the use of HyperSpace, our distributed Bayesian hyper parameter optimization (HPO) approach for optimizing reinforcement learning algorithms. Joint work with M. T. Young, R. Kannan and J. D. Hinkle (all at Oak Ridge National Lab). The final copy of the paper will be available shortly!

Check out the code at: http://www.github.com/yngtodd/hyperspace for HyperSpace.

You can check out the repo: http://www.github.com/yngtodd/hyperpoints for the experiments run in our paper.

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