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07/20/2020
Translation Between Waves, wave2wave
The understanding of sensor data has been greatly improved by advanced d...
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10/22/2019
Deep Set-to-Set Matching and Learning
Matching two sets of items, called set-to-set matching problem, is being...
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01/17/2013
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration
The policy gradient approach is a flexible and powerful reinforcement le...
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10/06/2012
Feature Selection via L1-Penalized Squared-Loss Mutual Information
Feature selection is a technique to screen out less important features. ...
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06/18/2012
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting
Oriental ink painting, called Sumi-e, is one of the most appealing paint...
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03/15/2012
Parametric Return Density Estimation for Reinforcement Learning
Most conventional Reinforcement Learning (RL) algorithms aim to optimize...
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12/03/2011
Information-Maximization Clustering based on Squared-Loss Mutual Information
Information-maximization clustering learns a probabilistic classifier in...
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06/23/2011