This repo is forked from the main Badapted repo, and provides the implementation of the baselines used for the hyperbolic temportal discounting experiment in the paper Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design.
We ran this code on a CPU-only machine with 40 CPU cores. For installation, please follow the instructions on the original repo.
Use
$ python3 badapted_hyperbolic.py
to generate 10000 rollouts using the Badapted method. Use
$ python3 frye_hyperbolic.py
to generate 10000 rollouts using the Frye method.