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: for HyperSpace.

You can check out the repo: for the experiments run in our paper.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s