Small-sample reinforcement learning: Improving policies using synthetic data

By Stephen W. Carden, James Livsey. 2017

3 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Chao Yu
2. Jiming Liu
3. Shamim Nemati
4. Guoqi Ren

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “Broadly speaking, there are two different ways of dealing with small sample learning problems [27].”