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ATAL
2008
Springer
15 years 6 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
IIE
2008
145views more  IIE 2008»
15 years 4 months ago
Students Learning Experience in the Integrated Information Literacy Course Constructed in Virtual Learning Environment
Abstract. The paper examines the impact of ICT on students learning experiences and opportunities offered by virtual learning environment as an integral part of traditional learnin...
Vilhelmina Vaiciuniene, Genute Gedviliene
210
Voted
ECAI
2008
Springer
15 years 5 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
144
Voted
SIGGRAPH
2010
ACM
15 years 8 months ago
Learning behavior styles with inverse reinforcement learning
We present a method for inferring the behavior styles of character controllers from a small set of examples. We show that a rich set of behavior variations can be captured by dete...
Seong Jae Lee, Zoran Popovic
135
Voted
AAI
2005
138views more  AAI 2005»
15 years 3 months ago
Learning By Teaching: A New Agent Paradigm For Educational Software
This paper discusses Betty's Brain, a teachable agent in the domain of river ecosystems that combines learning by teaching with self-regulation mentoring to promote deep lear...
Gautam Biswas, Krittaya Leelawong, Daniel Schwartz...