BibTex format
@article{Shanahan:2022,
author = {Shanahan, M and Mitchell, M},
journal = {IJCAI International Joint Conference on Artificial Intelligence},
pages = {5588--5596},
title = {Abstraction for Deep Reinforcement Learning},
year = {2022}
}
Publications
Citation
RIS format (EndNote, RefMan)
TY - JOUR
AB - We characterise the problem of abstraction in the context of deep reinforcement learning. Various well established approaches to analogical reasoning and associative memory might be brought to bear on this issue, but they present difficulties because of the need for end-to-end differentiability. We review developments in AI and machine learning that could facilitate their adoption.
AU - Shanahan,M
AU - Mitchell,M
EP - 5596
PY - 2022///
SN - 1045-0823
SP - 5588
TI - Abstraction for Deep Reinforcement Learning
T2 - IJCAI International Joint Conference on Artificial Intelligence
ER -