495 search results - page 58 / 99 » Constructing States for Reinforcement Learning |
142
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NIPS
1993
15 years 5 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
128
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
135
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AVSS
2007
IEEE
15 years 10 months ago
2007
IEEE
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
139
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ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
133
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ICRA
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract— We consider the problem of apprenticeship learning when the expert’s demonstration covers only a small part of a large state space. Inverse Reinforcement Learning (IR...