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COLT
2008
Springer
13 years 10 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
WALTD
2008
109views Education» more  WALTD 2008»
13 years 10 months ago
Inclusive, Adaptive Design for Students with Severe Learning Disabilities
Young adults with severe disabilities and learning difficulties (SLD) have very limited access to appropriate learning resources. Their unique individual needs and requirements pr...
Matt Harrison, Claire Stockton
ALENEX
2008
133views Algorithms» more  ALENEX 2008»
13 years 10 months ago
Comparing Online Learning Algorithms to Stochastic Approaches for the Multi-Period Newsvendor Problem
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...
Shawn O'Neil, Amitabh Chaudhary
PGLDB
2003
188views Database» more  PGLDB 2003»
13 years 10 months ago
The LearningOnline Network with Computer-Assisted Personalized Approach (LON-CAPA)
LON-CAPA is a distributed open-source Learning Content Management and Assessment System that provides instructors with a common, scalable platform to assist in several aspects of ...
Gerd Kortemeyer, Guy Albertelli, Wolfgang Bauer, F...
EDM
2009
106views Data Mining» more  EDM 2009»
13 years 6 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias