Planning

Learning Structured Decision Problems with Unawareness ICML 2019 Learning to Bootstrap for Entity Set Expansion EMNLP 2019 Learning to Film From Professional Human Motion Videos CVPR 2019 Learning to Plan with Logical Automata RSS 2019 Learning Transformation Synchronization CVPR 2019 Learning value functions with relational state representations for guiding task-and-motion planning CoRL 2019 Learning what you can do before doing anything ICLR 2019 LeTS-Drive: Driving in a Crowd by Learning from Tree Search RSS 2019 Leveraging Experience in Lazy Search RSS 2019 Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Delivery AAAI 2019 Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control CoRL 2019 Logic-Based Sequential Decision-Making AAAI 2019 LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies NeurIPS 2019 Measurement Maximizing Adaptive Sampling with Risk Bounding Functions AAAI 2019 Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019 Merge-and-Shrink Task Reformulation for Classical Planning IJCAI 2019 Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control RSS 2019 Modeling the Long Term Future in Model-Based Reinforcement Learning ICLR 2019 Moral Permissibility of Action Plans AAAI 2019 MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation CVPR 2019 Multi-Agent Coordination under Uncertain Communication AAAI 2019 Multi-Agent Path Finding for Large Agents AAAI 2019 Multi-Agent Pathfinding with Continuous Time IJCAI 2019