Travelled to:1 × Canada
1 × China
1 × Finland
1 × Israel
Collaborated with:R.Parr C.Geer D.Piekut M.Petrik S.Zilberstein L.Li C.Painter-Wakefield M.L.Littman
Talks about:approxim (5) linear (4) reinforc (2) function (2) regular (2) program (2) analysi (2) select (2) featur (2) learn (2)
Person: Gavin Taylor
DBLP: Taylor:Gavin
Contributed to:
2014201020092008Wrote 4 papers:
- ICML-c2-2014-TaylorGP #analysis #approximate #linear #programming
- An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy (GT, CG, DP), pp. 451–459.
- ICML-2010-PetrikTPZ #approximate #feature model #linear #markov #process #source code #using
- Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes (MP, GT, RP, SZ), pp. 871–878.
- ICML-2009-TaylorP #approximate #kernel #learning
- Kernelized value function approximation for reinforcement learning (GT, RP), pp. 1017–1024.
- ICML-2008-ParrLTPL #analysis #approximate #feature model #learning #linear #modelling
- An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning (RP, LL, GT, CPW, MLL), pp. 752–759.