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2008

The Introspective Robot: Using Self-Prediction to Improve Robot Learning

10 years 6 months ago
The Introspective Robot: Using Self-Prediction to Improve Robot Learning
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in which a network is trained on a task consisting of a mixture of predictable and random patterns. In addition to learning the task patterns, the network is also trained to explicitly predict the internal representations developed for each pattern as well as the resulting output error. Selfprediction is found to speed up learning and may offer an effective framework for distinguishing predictable from unpredictable input data.
James B. Marshall, Neil K. Makhija, Zachary D. Rot
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where FLAIRS
Authors James B. Marshall, Neil K. Makhija, Zachary D. Rothman
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