252 search results - page 9 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
AAAI
2008
15 years 1 months ago
2008
This work addresses the problem of efficiently learning action schemas using a bounded number of samples (interactions with the environment). We consider schemas in two languages-...
ICRA
2009
IEEE
15 years 6 months ago
2009
IEEE
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
106
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IJCAI
2001
15 years 1 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
IDEAL
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
105
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HRI
2007
ACM
15 years 3 months ago
2007
ACM
Intelligent planning algorithms such as the Partially Observable Markov Decision Process (POMDP) have succeeded in dialog management applications [10, 11, 12] because of their rob...