878 search results - page 54 / 176 » Learning to Control in Operational Space |
125
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
146
Voted
ESANN
2001
15 years 5 months ago
2001
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
120
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TSMC
2002
15 years 3 months ago
2002
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
118
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ATAL
2003
Springer
15 years 9 months ago
2003
Springer
To increase the assurance with which agents can be deployed in operational settings, we have been developing the KAoS policy and domain services. In conjunction with Nomads strong...
123
Voted
PPSN
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...