495 search results - page 87 / 99 » Constructing States for Reinforcement Learning |
AIIDE
2006
13 years 9 months ago
2006
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
IJCAI
1997
13 years 9 months ago
1997
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
IACR
2011
12 years 7 months ago
2011
We consider the question of how to store a value secretly on devices that continually leak information about their internal state to an external attacker. If the secret value is s...
AI
2006
Springer
13 years 7 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...