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IJCAI
2007

Deictic Option Schemas

8 years 8 months ago
Deictic Option Schemas
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this article we present a hierarchical reinforcement learning framework that employs aspects of deictic representation. We also present a Bayesian algorithm for learning the correct representation for a given sub-problem and empirically validate it on a complex game environment.
Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where IJCAI
Authors Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
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