markov decision process

Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 SeedNet: Automatic Seed Generation With Deep Reinforcement Learning for Robust Interactive Segmentation CVPR 2018 Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications RSS 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 Stochastic Variance-Reduced Policy Gradient ICML 2018 Temporal Regularization for Markov Decision Process NeurIPS 2018 Time Limits in Reinforcement Learning ICML 2018 Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models NAACL 2018 Variance-Aware Regret Bounds for Undiscounted Reinforcement Learning in MDPs ALT 2018 A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space ACML 2017 A Reinforcement Learning Approach to the View Planning Problem CVPR 2017 Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning IJCAI 2017 Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction IJCAI 2017 Budget-Aware Deep Semantic Video Segmentation CVPR 2017 Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017 Fast rates for online learning in Linearly Solvable Markov Decision Processes COLT 2017 Hierarchy Through Composition with Multitask LMDPs ICML 2017 Improved Strong Worst-case Upper Bounds for MDP Planning IJCAI 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017 Learning Unknown Markov Decision Processes: A Thompson Sampling Approach NeurIPS 2017 Logistic Markov Decision Processes IJCAI 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017