TY - ADVS
T1 - AMaze: a lightweight benchmark generator for sighted agents
AU - Godin-Dubois, Kevin
PY - 2024/4/2
Y1 - 2024/4/2
N2 - AMaze is a library for fast prototyping generic machine learning agents (Reinforcement Learning, Evolutionary Computation, NeuroEvolution, ...).
It relies on a lightweight sequential visual task geared towards human interaction with highly customizable and intelligible difficulties.
Sources: https://github.com/kgd-al/amaze
Documentation: https://amaze.readthedocs.io/
AB - AMaze is a library for fast prototyping generic machine learning agents (Reinforcement Learning, Evolutionary Computation, NeuroEvolution, ...).
It relies on a lightweight sequential visual task geared towards human interaction with highly customizable and intelligible difficulties.
Sources: https://github.com/kgd-al/amaze
Documentation: https://amaze.readthedocs.io/
UR - https://zenodo.org/doi/10.5281/zenodo.10907939
U2 - 10.5281/ZENODO.10907939
DO - 10.5281/ZENODO.10907939
M3 - Artefact
ER -