21 search results - page 4 / 5 » Variance Reduction Techniques for Gradient Estimates in Rein... |
JMLR
2010
13 years 16 days ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
AAAI
2008
13 years 8 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
NIPS
2008
13 years 7 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
ICML
2000
IEEE
14 years 6 months ago
2000
IEEE
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...