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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
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability
AAAI 2020
Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search
AAAI 2020
HDDL: An Extension to PDDL for Expressing Hierarchical Planning Problems
AAAI 2020
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA
CVPR 2020
Data-Driven Distributed Predictive Control via Network Optimization
L4DC 2020
Information Theoretic Model Predictive Q-Learning
L4DC 2020
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
AACL 2020
Learning Equality Constraints for Motion Planning on Manifolds
CORL 2020
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
CORL 2020
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
CORL 2020
Learning hierarchical relationships for object-goal navigation
CORL 2020
Content Planning for Neural Story Generation with Aristotelian Rescoring
EMNLP 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2020
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
AISTATS 2020
Optimising Partial-Order Plans Via Action Reinstantiation
IJCAI 2020
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing
ICML 2020
Static and Dynamic Values of Computation in MCTS
UAI 2020
Expectation-Aware Planning: A Unifying Framework for Synthesizing and Executing Self-Explaining Plans for Human-Aware Planning
AAAI 2020
Optimal Attack against Autoregressive Models by Manipulating the Environment
AAAI 2020
Learning Vision-based Reactive Policies for Obstacle Avoidance
CORL 2020
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
L4DC 2020
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
AAAI 2020
Simultaneous Translation Policies: From Fixed to Adaptive
ACL 2020
Improving Policies via Search in Cooperative Partially Observable Games
AAAI 2020
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