markov decision process

Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Best of Both Worlds: Human-Machine Collaboration for Object Annotation CVPR 2015 Data Generation as Sequential Decision Making NeurIPS 2015 Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015 Learning to Track: Online Multi-Object Tracking by Decision Making ICCV 2015 Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015 Multiclass Semantic Video Segmentation With Object-Level Active Inference CVPR 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 On Convergence of Emphatic Temporal-Difference Learning COLT 2015 On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015 PAC Optimal MDP Planning with Application to Invasive Species Management JMLR 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Toward Minimax Off-policy Value Estimation AISTATS 2015 Algorithms for CVaR Optimization in MDPs NeurIPS 2014 An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Near-optimal Reinforcement Learning in Factored MDPs NeurIPS 2014 Off-policy Learning With Eligibility Traces: A Survey JMLR 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014