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» Learning Rates for Q-Learning
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NIPS
1993
14 years 11 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr
FLAIRS
2011
14 years 1 months ago
Internal Usability Testing of Automated Essay Feedback in an Intelligent Writing Tutor
Research on automated essay scoring (AES) indicates that computer-generated essay ratings are comparable to human ratings. However, despite investigations into the accuracy and re...
Rod Roscoe, Laura Varner, Zhiqiang Cai, Jennifer L...
CE
2008
122views more  CE 2008»
14 years 9 months ago
Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques
The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For...
G. D. Chen, C. K. Chang, C. Y. Wang
ALT
2004
Springer
15 years 6 months ago
Prediction with Expert Advice by Following the Perturbed Leader for General Weights
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
Marcus Hutter, Jan Poland
ICML
1998
IEEE
15 years 10 months ago
Learning Collaborative Information Filters
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
Daniel Billsus, Michael J. Pazzani