Planning

Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020 LatRec: Recognizing Goals in Latent Space (Student Abstract) AAAI 2020 LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization COLING 2020 Learning 3D Dynamic Scene Representations for Robot Manipulation CoRL 2020 Learning Adaptive Segmentation Policy for Simultaneous Translation EMNLP 2020 Learning a natural-language to LTL executable semantic parser for grounded robotics CoRL 2020 Learning and Reasoning for Robot Sequential Decision Making under Uncertainty AAAI 2020 Learning and Solving Regular Decision Processes IJCAI 2020 Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles CoRL 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Compositional Koopman Operators for Model-Based Control ICLR 2020 Learning Equality Constraints for Motion Planning on Manifolds CoRL 2020 Learning hierarchical relationships for object-goal navigation CoRL 2020 Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations CoRL 2020 Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS) IJCAI 2020 Learning Stability Certificates from Data CoRL 2020 Learning the Linear Quadratic Regulator from Nonlinear Observations NeurIPS 2020 Learning to Control PDEs with Differentiable Physics ICLR 2020 Learning to Evaluate Perception Models Using Planner-Centric Metrics CVPR 2020 Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks NeurIPS 2020 Learning To Explore Using Active Neural SLAM ICLR 2020 Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees ICLR 2020 Learning to Plan via Deep Optimistic Value Exploration L4DC 2020 Learning to Prove Theorems by Learning to Generate Theorems NeurIPS 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ICLR 2020