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ECML
2001
Springer
15 years 10 months ago
Comparing the Bayes and Typicalness Frameworks
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...
CP
1998
Springer
15 years 10 months ago
Optimizing with Constraints: A Case Study in Scheduling Maintenance of Electric Power Units
A well-studied problem in the electric power industry is that of optimally scheduling preventative maintenance of power generating units within a power plant. We show how these pr...
Daniel Frost, Rina Dechter
ITS
2000
Springer
140views Multimedia» more  ITS 2000»
15 years 9 months ago
Multi-agent Negotiation to Support an Economy for Online Help and Tutoring
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
Chhaya Mudgal, Julita Vassileva
NIPS
2008
15 years 7 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
SOCRATES
2008
112views Education» more  SOCRATES 2008»
15 years 7 months ago
Collaborative Strategies in On Line Communities of In-Service Teachers
The present paper analyzes a learning experience run at University of Macerata, during a post degree course for in service teachers and mature students. The course was delivered e...
Lorella Giannandrea, Teresa Magnaterra