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Recent works on shared autonomy and assistive-AI technologies, such as assistive robot teleoperation, seek to model and help human users with limited ability in a fixed task.
Teaching Piano: A Comprehensive Guide and Reference Book for the Instructor
Denes Agay · 1982
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Knowledge tracing: Modeling the acquisition of procedural knowledge
Albert T Corbett and John R Anderson · 1994
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Motor control: Theory and practical applications
Anne Shumway-Cook and Marjorie H Woollacott · 1995
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Reinforcement learning with hierarchies of machines
Ronald Parr and Stuart Russell · 1997
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Macro-actions in reinforcement learning: An empirical analysis
Amy McGovern and Richard S Sutton · 1998
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Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning
Richard S Sutton, Doina Precup, and Satinder Singh · 1999
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Motor Skill Learning: A Review of Trends and Theories
Natalie Krahe · 1999
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Hierarchical reinforcement learning with the MAXQ value function decomposition
Thomas G Dietterich · 2000
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Recent advances in hierarchical reinforcement learning
Andrew G Barto and Sridhar Mahadevan · 2003
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Learning movement primitives
Stefan Schaal, Jan Peters, Jun Nakanishi, and Auke Ijspeert · 2005
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Human motor control
David A Rosenbaum · 2010
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Autonomous reinforcement learning with hierarchical reps
Christian Daniel, Gerhard Neumann, and Jan Peters · 2013
Earlier work this paper cites.
A policy-blending formalism for shared control
Anca D Dragan and Siddhartha S Srinivasa · 2013
Earlier work this paper cites.
Nonparametric bayesian reward segmentation for skill discovery using inverse reinforcement learning
Pravesh Ranchod, Benjamin Rosman, and George Konidaris · 2015
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Deep knowledge tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J Guibas, and Jascha Sohl-Dickstein · 2015
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Machine teaching: An inverse problem to machine learning and an approach toward optimal education
Xiaojin Zhu · 2015
Cited alongside, same era.
Human-level concept learning through probabilistic program induction
Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
Cited alongside, same era.
Faster teaching via pomdp planning
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, and Patrick Shafto · 2016
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Karol Gregor, Danilo Jimenez Rezende, and Daan Wierstra · 2016
Cited alongside, same era.
The option-critic architecture
Pierre-Luc Bacon, Jean Harb, and Doina Precup · 2017
Cited alongside, same era.
Stochastic neural networks for hierarchical reinforcement learning
Carlos Florensa, Yan Duan, and Pieter Abbeel · 2017
CompILE: Compositional imitation learning and execution
Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Alvaro Sanchez-Gonzalez, Edward Grefenstette, Pushmeet Kohli, and Peter Battaglia · 2019
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Discovering motor programs by recomposing demonstrations
Tanmay Shankar, Shubham Tulsiani, Lerrel Pinto, and Abhinav Gupta · 2019
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Fake it till you make it: Learning-compatible performance support
Jonathan Bragg and Emma Brunskill · 2019
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Where’s the reward? a review of reinforcement learning for instructional sequencing
Shayan Doroudi, Vincent Aleven, and Emma Brunskill · 2019
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Shared autonomy with learned latent actions
Hong Jun Jeon, Dylan P Losey, and Dorsa Sadigh · 2020
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Reinforcement learning for the adaptive scheduling of educational activities
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Cited alongside, same era.
Shared autonomy via hindsight optimization for teleoperation and teaming
Shervin Javdani, Henny Admoni, Stefania Pellegrinelli, Siddhartha S Srinivasa, and J Andrew Bagnell · 2018
Cited alongside, same era.
Shared autonomy via deep reinforcement learning
Siddharth Reddy, Anca D Dragan, and Sergey Levine · 2018
Cited alongside, same era.
Variational option discovery algorithms
Joshua Achiam, Harrison Edwards, Dario Amodei, and Pieter Abbeel · 2018
Cited alongside, same era.
Meta learning shared hierarchies
Kevin Frans, Jonathan Ho, Xi Chen, Pieter Abbeel, and John Schulman · 2018
Cited alongside, same era.
Teaching categories to human learners with visual explanations
Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, and Yisong Yue · 2018
Cited alongside, same era.
An environment for autonomous driving decision-making
Edouard Leurent · 2018
Cited alongside, same era.
Jonathan Bassen, Bharathan Balaji, Michael Schaarschmidt, Candace Thille, Jay Painter, Dawn Zimmaro, Alex Games, Ethan Fast, and John C Mitchell · 2020
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Dynamics-aware unsupervised discovery of skills
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, and Karol Hausman · 2020
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Explore, discover and learn: Unsupervised discovery of state-covering skills
Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i Nieto, and Jordi Torres · 2020
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Learning latent actions to control assistive robots
Dylan Losey, Hong Jun Jeon, Mengxi Li, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Jeannette Bohg, and Dorsa Sadigh · 2021
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LILA: Language-informed latent actions
Siddharth Karamcheti, Megha Srivastava, Percy Liang, and Dorsa Sadigh · 2021
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Contrastive reinforcement learning of symbolic reasoning domains
Gabriel Poesia, WenXin Dong, and Noah Goodman · 2021
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Question generation for adaptive education
Megha Srivastava and Noah Goodman · 2021
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Automatic adaptive sequencing in a webgame
Tong Mu, Shuhan Wang, Erik Andersen, and Emma Brunskill · 2021
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Assisted perception: Optimizing observations to communicate state
Siddharth Reddy, Sergey Levine, and Anca Dragan · 2021
Later among the works it cites.