/ALPaCA

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

Primary LanguageJupyter NotebookMIT LicenseMIT

ALPaCA

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

Installation

To install requirements, run

pip install -r requirements.txt

MuJoCo is required for Hopper experiment.

Running the code

The experiments presented in the paper can be run from the jupyter notebooks.