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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
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
CORL 2018
VirtualHome: Simulating Household Activities via Programs
CVPR 2018
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
CVPR 2018
Bayesian Inference of Temporal Task Specifications from Demonstrations
NIPS 2018
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems
NIPS 2018
Reinforcement Learning with Action-Derived Rewards for Chemotherapy and Clinical Trial Dosing Regimen Selection
MLHC 2018
End-to-End Differentiable Physics for Learning and Control
NIPS 2018
Odin: Microsoft’s Scalable Fault-Tolerant CDN Measurement System
NSDI 2018
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning
ACL 2018
Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation
ACL 2018
From Stochastic Planning to Marginal MAP
NIPS 2018
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning
EMNLP 2018
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
EMNLP 2018
LIA: A Natural Language Programmable Personal Assistant
EMNLP 2018
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction
EMNLP 2018
Learning Plannable Representations with Causal InfoGAN
NIPS 2018
Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog
NIPS 2018
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
NIPS 2018
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
NIPS 2017
Regret Minimization in MDPs with Options without Prior Knowledge
NIPS 2017
PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
NIPS 2017
Sample-Based Methods for Factored Task and Motion Planning
RSS 2017
QMDP-Net: Deep Learning for Planning under Partial Observability
NIPS 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning
EMNLP 2017
Memoryless Sequences for Differentiable Losses
COLT 2017
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