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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Planning
3112 directly classified papers
Papers per year
2000: 1
2003: 2
2005: 1
2006: 10
2007: 16
2008: 15
2009: 17
2010: 13
2011: 26
2012: 27
2013: 30
2014: 26
2015: 25
2016: 33
2017: 102
2018: 125
2019: 246
2020: 248
2021: 305
2022: 255
2023: 364
2024: 447
2025: 548
2026: 230
Papers
Making Translations to Classical Planning Competitive with Other HTN Planners
AAAI 2022
Adaptive Variants of Optimal Feedback Policies
L4DC 2022
Optimal Control with Learning on the Fly: System with Unknown Drift
L4DC 2022
Adaptive Model Predictive Control by Learning Classifiers
L4DC 2022
Hybrid Semantics for Goal-Directed Natural Language Generation
ACL 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
AAAI 2022
PDSketch: Integrated Domain Programming, Learning, and Planning
NIPS 2022
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems
NIPS 2022
When to Intervene: Learning Optimal Intervention Policies for Critical Events
NIPS 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
CVPR 2022
Audio-Driven Neural Gesture Reenactment With Video Motion Graphs
CVPR 2022
Think Global, Act Local: Dual-Scale Graph Transformer for Vision-and-Language Navigation
CVPR 2022
Multi-Robot Active Mapping via Neural Bipartite Graph Matching
CVPR 2022
Towards Real-World Navigation With Deep Differentiable Planners
CVPR 2022
Coupling Vision and Proprioception for Navigation of Legged Robots
CVPR 2022
PONI: Potential Functions for ObjectGoal Navigation With Interaction-Free Learning
CVPR 2022
Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation
CVPR 2022
Exploration via Planning for Information about the Optimal Trajectory
NIPS 2022
LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation
COLING 2022
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
CVPR 2021
Plan-then-Generate: Controlled Data-to-Text Generation via Planning
EMNLP 2021
Truth-Conditional Captions for Time Series Data
EMNLP 2021
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
AAAI 2021
Adaptive Information Seeking for Open-Domain Question Answering
EMNLP 2021
Neural Sequence-to-grid Module for Learning Symbolic Rules
AAAI 2021
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