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ALT
2006
Springer
16 years 3 months ago
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
Daniil Ryabko, Marcus Hutter
IUI
2006
ACM
16 years 21 days ago
Are two talking heads better than one?: when should use more than one agent in e-learning?
Recent interest in the use of software character agents raises the issue of how many agents should be used in online learning. In this paper we review evidence concerning the rela...
Hua Wang, Mark H. Chignell, Mitsuru Ishizuka
SIGCSE
2005
ACM
142views Education» more  SIGCSE 2005»
16 years 9 days ago
Closed laboratories with embedded instructional research design for CS1
Closed laboratories are becoming an increasingly popular approach to teaching introductory computer science courses. However, as observed in [1], “Considering the prevalence of ...
Leen-Kiat Soh, Ashok Samal, Suzette Person, Gwen N...
170
Voted
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
16 years 7 days ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
SOCRATES
2008
112views Education» more  SOCRATES 2008»
15 years 8 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