Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting

We use the code of DQD as the framework for Robotic arm.

Preparation

First, create the conda environment:

conda env create -f experiments/environment.yml

Next install the local copy of pyribs after activating conda:

conda activate dqdexps
pip3 install -e .[all]

To run the experiments:

cd experiments/arm
python3 arm.py og_map_elites METHOD

where the METHOD can be random, mop1, mop2, mop3, nslc, curiosity, edocs, or nss

For more information see README-dqd.md