Learning via human feedback in continuous state and action spaces

标题
Learning via human feedback in continuous state and action spaces
作者
关键词
Reinforcement learning, Human-agent interaction, Interactive learning, Human teachers, Reward shaping, Continuous states, Continuous actions
出版物
APPLIED INTELLIGENCE
Volume 39, Issue 2, Pages 267-278
出版商
Springer Nature
发表日期
2013-02-01
DOI
10.1007/s10489-012-0412-6

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now