An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy

Gavin Taylor, Connor Geer, David Piekut. An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy. In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014. Volume 32 of JMLR Proceedings, pages 451-459, JMLR.org, 2014. [doi]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.