Planning

INVIGORATE: Interactive Visual Grounding and Grasping in Clutter RSS 2021 Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning CVPR 2021 K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021 Landmark Generation in HTN Planning AAAI 2021 Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments EMNLP 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction CoRL 2021 Learning and Planning in Complex Action Spaces ICML 2021 Learning and Planning Under Uncertainty for Green Security IJCAI 2021 Learning by Planning: Language-Guided Global Image Editing CVPR 2021 Learning from Executions for Semantic Parsing NAACL 2021 Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021 Learning Generalized Unsolvability Heuristics for Classical Planning IJCAI 2021 Learning General Planning Policies from Small Examples Without Supervision AAAI 2021 Learning How to Solve “Bubble Ball” L4DC 2021 Learning Long-term Visual Dynamics with Region Proposal Interaction Networks ICLR 2021 Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates ICLR 2021 Learning Space Partitions for Path Planning NeurIPS 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems NeurIPS 2021 Learning Task Decomposition with Ordered Memory Policy Network ICLR 2021 Learning Temporal Plan Preferences from Examples: An Empirical Study IJCAI 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 Learning to Decompose and Organize Complex Tasks NAACL 2021 Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics NeurIPS 2021