288 search results - page 42 / 58 » Learning to Play Chess Using Temporal Differences |
89
Voted
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
74
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
In reinforcement learning, least-squares temporal difference methods (e.g., LSTD and LSPI) are effective, data-efficient techniques for policy evaluation and control with linear v...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
WWW
2008
ACM
15 years 10 months ago
2008
ACM
Geographic information has spawned many novel Web applications where global positioning system (GPS) plays important roles in bridging the applications and end users. Learning kno...