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» Learning to Play Chess Using Temporal Differences
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ATAL
2005
Springer
15 years 8 months ago
Behavior transfer for value-function-based reinforcement learning
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
Matthew E. Taylor, Peter Stone
129
Voted
ICML
2007
IEEE
16 years 3 months ago
Bayesian actor-critic algorithms
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
Mohammad Ghavamzadeh, Yaakov Engel
APGV
2006
ACM
15 years 8 months ago
Updating orientation in large virtual environments using scaled translational gain
Navigating through large virtual environments using a headmounted display (HMD) is difficult due to the spatial limitations of the tracking system. We conducted two experiments t...
Betsy Williams, Gayathri Narasimham, Timothy P. Mc...
111
Voted
AIED
2005
Springer
15 years 8 months ago
Technology at work to mediate collaborative scientific enquiry in the field
This paper describes and contrasts findings from two related projects where groups of science pupils investigated local air pollution using a collection of mobile sensors and devic...
Hilary Smith, Rosemary Luckin, Geraldine Fitzpatri...
CAISE
2010
Springer
14 years 9 months ago
Workflow Time Patterns for Process-Aware Information Systems
Abstract. Formal specification and operational support of time constraints constitute fundamental challenges for any process-aware information system. Although temporal constraints...
Andreas Lanz, Barbara Weber, Manfred Reichert