google-research / ravens

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
https://transporternets.github.io
Apache License 2.0
562 stars 97 forks source link

Sort by n_steps before plotting #20

Closed tony2guo closed 2 years ago

tony2guo commented 3 years ago

This PR sort the plot data by n_steps instead of file names before plotting. Also, print score and std two digits after the decimal.

before: 1000 steps: 0.9% ± 0.3% 10000 steps: 1.0% ± 0.2% <---10000 is put in front because of sorting by file names 2000 steps: 1.0% ± 0.2% 5000 steps: 1.0% ± 0.1%

fixed: 1000 steps: 0.90% ± 0.30% 2000 steps: 0.97% ± 0.17% 5000 steps: 0.99% ± 0.10% 10000 steps: 0.97% ± 0.17%

google-cla[bot] commented 3 years ago

Thanks for your pull request. It looks like this may be your first contribution to a Google open source project (if not, look below for help). Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA).

:memo: Please visit https://cla.developers.google.com/ to sign.

Once you've signed (or fixed any issues), please reply here with @googlebot I signed it! and we'll verify it.


What to do if you already signed the CLA

Individual signers
Corporate signers

ℹ️ Googlers: Go here for more info.

tony2guo commented 3 years ago

@googlebot I signed it!