function approximation

Sketch-Based Linear Value Function Approximation NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012 Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Dynamic Policy Programming with Function Approximation AISTATS 2011 Exploiting Best-Match Equations for Efficient Reinforcement Learning JMLR 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 A Convergent Online Single Time Scale Actor Critic Algorithm JMLR 2010 Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting JMLR 2010 LSTD with Random Projections NeurIPS 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 Lattice Regression NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 A Library for Locally Weighted Projection Regression JMLR 2008 Finite-Time Bounds for Fitted Value Iteration JMLR 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity JMLR 2008 Regularized Policy Iteration NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Predicting Partial Paths from Planning Problem Parameters RSS 2007 Stable Dual Dynamic Programming NeurIPS 2007