value function approximation

Hierarchical Decision Making In Electricity Grid Management ICML 2016 Linear Feature Encoding for Reinforcement Learning NeurIPS 2016 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 Probabilistic Differential Dynamic Programming NeurIPS 2014 Quasi Newton Temporal Difference Learning ACML 2014 RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NeurIPS 2014 Sparse Multi-Task Reinforcement Learning NeurIPS 2014 True Online TD(lambda) ICML 2014 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Construction of Approximation Spaces for Reinforcement Learning JMLR 2013 Learning Adaptive Value of Information for Structured Prediction NeurIPS 2013 Dynamic Policy Programming JMLR 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Regularized Off-Policy TD-Learning NeurIPS 2012 Sketch-Based Linear Value Function Approximation NeurIPS 2012 A Non-Parametric Approach to Dynamic Programming NeurIPS 2011 Reinforcement Learning using Kernel-Based Stochastic Factorization NeurIPS 2011 Robust Approximate Bilinear Programming for Value Function Approximation JMLR 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 Basis Construction from Power Series Expansions of Value Functions NeurIPS 2010