Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies [slide]

This repository contains the code for the paper "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies". Please e-mail at [email protected] if you have any issue.

Setup and Run

We use Poetry for our experimental environment. You can build the same environment by running the following commands:

# clone repository
$ git clone [email protected]:nomuramasahir0/xnes_adaptive_lr.git

# build the environment with poetry
$ cd xnes_adaptive_lr
$ poetry install

# run the experiment
$ poetry run python main.py sphere

Citation

If you find this code useful in your research then please cite:

@inproceedings{nomura2022towards,
  title={Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies},
  author={Nomura, Masahiro and Ono, Isao},
  booktitle={International Conference on the Applications of Evolutionary Computation (Part of EvoStar)},
  pages={721--737},
  year={2022},
  organization={Springer}
}