Differentiable game mechanics

A Letcher, D Balduzzi, S Racaniere, J Martens… - Journal of Machine …, 2019 - jmlr.org
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …
被引用次数：92 相关文章

Differentiable Game Mechanics

A Letcher, D Balduzzi, S Racaniere, J Martens… - arXiv preprint arXiv …, 2019 - arxiv.org
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …

Differentiable Game Mechanics

A Letcher, D Balduzzi, S Racaniere, J Martens… - arXiv e …, 2019 - ui.adsabs.harvard.edu
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …
[PDF] mit.edu

[PDF][PDF] Differentiable Game Mechanics

A Letcher, D Balduzzi, S Racaniere… - Journal of Machine …, 2019 - jmlr.csail.mit.edu
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …

Differentiable Game Mechanics

A Letcher, D Balduzzi, S Racaniere… - Journal of Machine …, 2019 - discovery.ucl.ac.uk
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …

Differentiable Game Mechanics

A Letcher, D Balduzzi, S Racanière… - Journal of Machine …, 2019 - jmlr.csail.mit.edu
Deep learning is built on the foundational guarantee that gradient descent on an objective
function converges to local minima. Unfortunately, this guarantee fails in settings, such as …