This repository can be used to reproduce all the experiments in the paper AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents.

Structure of the repository

• Folder toy_examples_xp contains code for Section 6.1 "Toy examples"
• Folder Non_adaptive_comparison_xp contains code for Section 6.2 "Comparison with non-adaptive approach"
• Folder Deep_RL_xp contains code for Section 6.3 "AdaStop for Deep Reinforcement Learning"

We provide a requirements.txt file which contains the dependencies and their versions at the time of the article.

What is reproducible?

We aim at having a completely reproducible paper. All the scripts for all the experiments are available and using the makefile all the figures and results of the paper can be reproduced. One can use make all (on linux) to do the figures from the article with a reduced size of the experiments so that it runs in a reasonable amount of time, using a virtual environment that is constructed in tmp folder. FOr more courageous people, you can use make ARG=--full-xp all which does the exact same figures as the ones in the article.

Remark: due to its complexity, the deep rl experiments from Section 6.3. are not automatically recomputed, we only recompute the adastop algorithm and not the actual training of the agents.

Using Guix

For (almost) perfect reproducibility, you can use guix with the following commands to fix the versions of the shared libraries (e.g. C libraries)

guix time-machine --channels=channels.scm --  shell -CF -m manifest.scm
export LD_LIBRARY_PATH=/lib
make all