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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
Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems
AAAI 2020
Generalized and Sub-Optimal Bipartite Constraints for Conflict-Based Search
AAAI 2020
Time-Inconsistent Planning: Simple Motivation Is Hard to Find
AAAI 2020
Symbolic Top-k Planning
AAAI 2020
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
RSS 2020
A Global Quasi-Dynamic Model for Contact-Trajectory Optimization in Manipulation
RSS 2020
Automated Synthesis of Modular Manipulators’ Structure and Control for Continuous Tasks around Obstacles
RSS 2020
IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract)
IJCAI 2020
Pure-Past Linear Temporal and Dynamic Logic on Finite Traces
IJCAI 2020
History-Adaption Knowledge Incorporation Mechanism for Multi-Turn Dialogue System
AAAI 2020
Semantic Attachments for HTN Planning
AAAI 2020
Temporal Planning with Intermediate Conditions and Effects
AAAI 2020
Tractable Reinforcement Learning of Signal Temporal Logic Objectives
L4DC 2020
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods
AISTATS 2020
RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers
OSDI 2020
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context
ACL 2020
Unearthing inter-job dependencies for better cluster scheduling
OSDI 2020
Towards Universal Languages for Tractable Ontology Mediated Query Answering
AAAI 2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
ACL 2020
Steady-State Policy Synthesis in Multichain Markov Decision Processes
IJCAI 2020
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
IJCAI 2020
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
IJCAI 2020
Deep Reactive Planning in Dynamic Environments
CORL 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
CORL 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
ICML 2020
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