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» Relational Reinforcement Learning
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102
Voted
ECML
2005
Springer
15 years 9 months ago
On the LearnAbility of Abstraction Theories from Observations for Relational Learning
Stefano Ferilli, Teresa Maria Altomare Basile, Nic...
113
Voted
AIED
2007
Springer
15 years 9 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
131
Voted
ECML
2006
Springer
15 years 7 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
FLAIRS
2000
15 years 5 months ago
Resolving Conflicts Among Actions in Concurrent Behaviors
A robotic agent must coordinate its coupled concurrent behaviors to produce a coherent response to stimuli. Reinforcement learning has been used extensively in coordinating sensin...
Henry Hexmoor
139
Voted
AAAI
1993
15 years 4 months ago
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning
learning (EBL) component. In this paper we provide a brief review of FOIL and FOCL, then discuss how operationalizing a domain theory can adversely affect the accuracy of a learned...
Michael J. Pazzani, Clifford Brunk