Adaptively Shaping Reinforcement Learning Agents via Human Reward

By Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren. 2018

6 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

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

In Cognitive Neuroscience

1. Shamim Nemati
2. Chao Yu
3. Jiming Liu

Citations in the corpus

• Reinforcement Learning in Healthcare: A Survey (2019, background): “pert’s knowledge with the automatic learning data would greatly enhance the knowledge discovery process [340]. While there is some previous work from other domains, particularly in training of robots [341], [342], human-in-theloop interactive RL is not yet well established in the healthcare domain. ”