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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
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
NIPS 2023
Pretrained Language Models as Visual Planners for Human Assistance
ICCV 2023
Winning the CityLearn Challenge: Adaptive Optimization with Evolutionary Search under Trajectory-Based Guidance
AAAI 2023
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
NIPS 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
AAAI 2023
Automated Verification of Propositional Agent Abstraction for Classical Planning via CTLK Model Checking
AAAI 2023
K∗ Search over Orbit Space for Top-k Planning
IJCAI 2023
Probabilistic Programs as an Action Description Language
AAAI 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Levin Tree Search with Context Models
IJCAI 2023
Front-to-End Bidirectional Heuristic Search with Consistent Heuristics: Enumerating and Evaluating Algorithms and Bounds
IJCAI 2023
Metric-Free Exploration for Topological Mapping by Task and Motion Imitation in Feature Space
RSS 2023
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities
IJCAI 2023
Functional causal Bayesian optimization
UAI 2023
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
AAAI 2022
Learning To Anticipate Future With Dynamic Context Removal
CVPR 2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
CVPR 2022
Large-Neighbourhood Search for Optimisation in Answer-Set Solving
AAAI 2022
Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics
AAAI 2022
Context-Specific Representation Abstraction for Deep Option Learning
AAAI 2022
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation
EMNLP 2022
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning
AAAI 2022
Solving Disjunctive Temporal Networks with Uncertainty under Restricted Time-Based Controllability Using Tree Search and Graph Neural Networks
AAAI 2022
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
GNN-Retro: Retrosynthetic Planning with Graph Neural Networks
AAAI 2022
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