Reinforcement Learning State-of-the-Art /
Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement l...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Wiering, Marco (Editor), Otterlo, Martijn van (Editor) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
|
Series: | Adaptation, Learning, and Optimization,
12 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Transfer in Reinforcement Learning Domains
by: Taylor, Matthew E.
Published: (2009) -
Adaptive Representations for Reinforcement Learning
by: Whiteson, Shimon
Published: (2010) -
Design of Experiments for Reinforcement Learning
by: Gatti, Christopher
Published: (2015) -
From Motor Learning to Interaction Learning in Robots
Published: (2010) -
Towards an Intelligent Learning Management System Under Blended Learning Trends, Profiles and Modeling Perspectives /
by: Dias, Sofia B., et al.
Published: (2014)