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NIPS
2003
14 years 11 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
HICSS
2003
IEEE
202views Biometrics» more  HICSS 2003»
15 years 3 months ago
Automated Coaching of Collaboration Based on Workspace Analysis: Evaluation and Implications for Future Learning Environments
This paper describes the design and evaluation of COLER, a computer mediated learning environment that includes a software coach to help students collaborate while solving Entity ...
María de los Angeles Constantino-Gonz&aacut...
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
15 years 3 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...
IR
2002
14 years 9 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CODES
2001
IEEE
15 years 1 months ago
Towards effective embedded processors in codesigns: customizable partitioned caches
This paper explores an application-specific customization technique for the data cache, one of the foremost area/power consuming and performance determining microarchitectural fea...
Peter Petrov, Alex Orailoglu