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ICML
2007
IEEE
16 years 5 months ago
Learning state-action basis functions for hierarchical MDPs
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
Sarah Osentoski, Sridhar Mahadevan
UM
2010
Springer
15 years 2 months ago
Inducing Effective Pedagogical Strategies Using Learning Context Features
Effective pedagogical strategies are important for e-learning environments. While it is assumed that an effective learning environment should craft and adapt its actions to the use...
Min Chi, Kurt VanLehn, Diane J. Litman, Pamela W. ...
HICSS
2008
IEEE
139views Biometrics» more  HICSS 2008»
15 years 10 months ago
Understanding the Roles of Knowledge Sharing and Trust in Online Learning Communities
This paper builds upon action and design research aimed at enhancing scholarly community and conversation in a graduate school setting. In this paper we focus on knowledge sharing...
Brian Thoms, Nathan Garrett, Jesus Canelon Herrera...
SOFSEM
2007
Springer
15 years 10 months ago
Incremental Learning of Planning Operators in Stochastic Domains
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
Javad Safaei, Gholamreza Ghassem-Sani
ECML
2003
Springer
15 years 9 months ago
Self-evaluated Learning Agent in Multiple State Games
Abstract. Most of multi-agent reinforcement learning algorithms aim to converge to a Nash equilibrium, but a Nash equilibrium does not necessarily mean a desirable result. On the o...
Koichi Moriyama, Masayuki Numao