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Methodology
← Core AI
Artificial Intelligence
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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
Task Scoping for Efficient Planning in Open Worlds (Student Abstract)
AAAI 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
AAAI 2020
Heterogeneous Graph Neural Networks to Predict What Happen Next
COLING 2020
Facts2Story: Controlling Text Generation by Key Facts
COLING 2020
Bridge the Gap: High-level Semantic Planning for Image Captioning
COLING 2020
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling
L4DC 2020
LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization
COLING 2020
Resource Constrained Dialog Policy Learning Via Differentiable Inductive Logic Programming
COLING 2020
Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network
COLING 2020
Generating Instructions at Different Levels of Abstraction
COLING 2020
HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference
AAAI 2020
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction
CVPR 2020
Sparse Graphical Memory for Robust Planning
NIPS 2020
Planning and Acting with Non-Deterministic Events: Navigating between Safe States
AAAI 2020
Guiding CDCL SAT Search via Random Exploration amid Conflict Depression
AAAI 2020
Learning and Reasoning for Robot Sequential Decision Making under Uncertainty
AAAI 2020
Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor Belt
RSS 2020
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications
RSS 2020
Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion
RSS 2020
Explaining Multi-stage Tasks by Learning Temporal Logic Formulas from Suboptimal Demonstrations
RSS 2020
Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes
AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning
AAAI 2020
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
AAAI 2020
Task and Motion Planning Is PSPACE-Complete
AAAI 2020
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
L4DC 2020
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