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» Focus of Attention in Reinforcement Learning
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IJCAI
2007
13 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...
Balaraman Ravindran, Andrew G. Barto, Vimal Mathew
SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
14 years 26 days ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert
HICSS
2003
IEEE
142views Biometrics» more  HICSS 2003»
14 years 20 days ago
Evolution of a Knowledge Focused Computer Supported Learning System by Ensuring Extensibility through Generalization and Replica
If sufficient attention is not paid to the information models on which Learning Platforms are based the ability to deliver rich functionality is hindered. This paper describes the...
David White, Lesley A. Gardner, Don Sheridan
AGI
2008
13 years 8 months ago
On the Broad Implications of Reinforcement Learning based AGI
Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL ...
Scott Livingston, Jamie Garvey, Itamar Elhanany
AIHC
2007
Springer
14 years 1 months ago
Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
Computer models can be used to investigate the role of emotion in learning. Here we present EARL, our framework for the systematic study of the relation between emotion, adaptation...
Joost Broekens