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159
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ECML
2005
Springer
15 years 9 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
132
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ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
125
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FLAIRS
2003
15 years 5 months ago
2003
Imitation represents a powerful approach for programming and autonomous learning in robot and computer systems. An important aspect of imitation is the mapping of observations to ...
130
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IPPS
1998
IEEE
15 years 8 months ago
1998
IEEE
Abstract. Dynamic real-time systems function in unpredictable environments and have requirements that span many domains such as time, survivability, and scalability. The system req...
123
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ICRA
2008
IEEE
15 years 10 months ago
2008
IEEE
—Terrain variations can greatly influence autonomous ground vehicle (AGV) performance. However, if the terrain is properly identified, the AGV control systems can be adjusted to ...