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ATAL
2007
Springer
15 years 6 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
ICALT
2008
IEEE
15 years 6 months ago
Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
Tharrenos Bratitsis, Angelique Dimitracopoulou
CSEE
2008
Springer
15 years 1 months ago
Improving Knowledge Acquisition in Capstone Projects Using Learning Spaces for Experiential Learning
Students have to cope with new technologies, changing environments, and conflicting changes in capstone projects. They often lack practical experience, which might lead to failing...
Eric Ras, Jörg Rech
ICWL
2010
Springer
14 years 9 months ago
Not Yet Ready for Everyone: An Experience Report about a Personal Learning Environment for Language Learning
A Personal Learning Environment (PLE) is a mash-up of learning services. It enables students and teachers to assemble a work environment that is adapted to a domain and specific in...
Carsten Ullrich, Ruimin Shen, Denis Gillet
AAAI
2006
15 years 1 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal