function approximation

Neural Networks and Rational Functions ICML 2017 Reinforcement Learning under Model Mismatch NeurIPS 2017 Sobolev Training for Neural Networks NeurIPS 2017 An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning JMLR 2016 A ranking approach to global optimization ICML 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016 The Power of Depth for Feedforward Neural Networks COLT 2016 True Online Temporal-Difference Learning JMLR 2016 A Deeper Look at Planning as Learning from Replay ICML 2015 FAemb: A Function Approximation-Based Embedding Method for Image Retrieval CVPR 2015 On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015 Universal Value Function Approximators ICML 2015 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Combining the benefits of function approximation and trajectory optimization RSS 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Incremental Local Gaussian Regression NeurIPS 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Sample-based approximate regularization ICML 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 True Online TD(lambda) ICML 2014 Universal Option Models NeurIPS 2014 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Temporal Difference Methods for the Variance of the Reward To Go ICML 2013 Active Learning of Multi-Index Function Models NeurIPS 2012 Online allocation and homogeneous partitioning for piecewise constant mean-approximation NeurIPS 2012