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NIPS
1992
13 years 5 months ago
Feudal Reinforcement Learning
This paper describes the adaption and application of an algorithm called Feudal Reinforcement Learning to a complex gridworld navigation problem. The algorithm proved to be not ea...
Peter Dayan, Geoffrey E. Hinton
NIPS
1992
13 years 5 months ago
Some Solutions to the Missing Feature Problem in Vision
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
Subutai Ahmad, Volker Tresp
NIPS
1990
13 years 5 months ago
A Theory for Neural Networks with Time Delays
Bert de Vries, José Carlos Príncipe
NIPS
1990
13 years 5 months ago
Planning with an Adaptive World Model
We present a new connectionist planning method TML90 . By interaction with an unknown environment, a world model is progressively constructed using gradient descent. For deriving ...
Sebastian Thrun, Knut Möller, Alexander Linde...
NIPS
1990
13 years 5 months ago
Learning to See Rotation and Dilation with a Hebb Rule
Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
Martin I. Sereno, Margaret E. Sereno
NIPS
1990
13 years 5 months ago
Optimal Filtering in the Salamander Retina
Fred Rieke, W. Geoffrey Owen, William Bialek
NIPS
1990
13 years 5 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
NIPS
1990
13 years 5 months ago
Training Knowledge-Based Neural Networks to Recognize Genes
Michiel O. Noordewier, Geoffrey G. Towell, Jude W....