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» Focus of Attention in Reinforcement Learning
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FLAIRS
2009
14 years 7 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
CBMS
2007
IEEE
15 years 4 months ago
Analyzing Requirements for a Large Scale System for Cancer Research
While most of the attention on building systems enabling semantic interoperability has been devoted to technical issues, human and organizational aspects are of equally if not hig...
Vito Perrone, Anthony Finkelstein

Publication
222views
15 years 6 months ago
Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration
Abstract: Several approximate policy iteration schemes without value functions, which focus on policy representation using classifiers and address policy learning as a supervis...
Christos Dimitrakakis, Michail G. Lagoudakis
IUI
2004
ACM
15 years 3 months ago
Choosing when to interact with learners
In this paper, we describe a method for pedagogical agents to choose when to interact with learners in interactive learning environments. This method is based on observations of h...
Lei Qu, Ning Wang, W. Lewis Johnson
CORR
2010
Springer
147views Education» more  CORR 2010»
14 years 9 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...