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A robot deployed in a home over long stretches of time faces a true lifelong learning problem.
Catastrophic interference in connectionist networks: The sequential learning problem
M. McCloskey and N. J. Cohen · 1989
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PDDL: The planning domain definition language
D. McDermott, M. Ghallab, A. Howe, C. Knoblock, A. Ram, M. Veloso, D. Weld, and D. Wilkins · 1998
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PAC-inspired option discovery in lifelong reinforcement learning
E. Brunskill and L. Li · 2014
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Overcoming catastrophic forgetting in neural networks
J. Kirkpatrick, R. Pascanu, N. Rabinowitz, J. Veness, G. Desjardins, A. A. Rusu, K. Milan, J. Quan, T. Ramalho, A. Grabska-Barwinska, D. Hassabis, C. Clopath, D. Kumaran, and R. Hadsell · 2017
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Continual learning through synaptic intelligence
F. Zenke, B. Poole, and S. Ganguli · 2017
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Learning without forgetting
Z. Li and D. Hoiem · 2017
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Gradient episodic memory for continual learning
D. Lopez-Paz and M. Ranzato · 2017
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A deep hierarchical approach to lifelong learning in Minecraft
C. Tessler, S. Givony, T. Zahavy, D. Mankowitz, and S. Mannor · 2017
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Variational continual learning
C. V. Nguyen, Y. Li, T. D. Bui, and R. E. Turner · 2018
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Overcoming catastrophic forgetting with hard attention to the task
J. Serrà, D. Surís, M. Miron, and A. Karatzoglou · 2018
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Active model learning and diverse action sampling for task and motion planning
Z. Wang, C. R. Garrett, L. P. Kaelbling, and T. Lozano-Pérez · 2018
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Guiding search in continuous state-action spaces by learning an action sampler from off-target search experience
B. Kim, L. Kaelbling, and T. Lozano-Pérez · 2018
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On tiny episodic memories in continual learning
A. Chaudhry, M. Rohrbach, M. Elhoseiny, T. Ajanthan, P. K. Dokania, P. H. Torr, and M. Ranzato · 2019
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Efficient lifelong learning with A-GEM
A. Chaudhry, M. Ranzato, M. Rohrbach, and M. Elhoseiny · 2019
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Denoising diffusion probabilistic models
J. Ho, A. Jain, and P. Abbeel · 2020
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Learning constraint-based planning models from demonstrations
J. Loula, K. Allen, T. Silver, and J. Tenenbaum · 2020
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Integrated task and motion planning
C. R. Garrett, R. Chitnis, R. Holladay, B. Kim, T. Silver, L. P. Kaelbling, and T. Lozano-Pérez · 2021
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Lifelong learning of compositional structures
J. A. Mendez and E. Eaton · 2021
BEHAVIOR: Benchmark for everyday household activities in virtual, interactive, and ecological environments
S. Srivastava, C. Li, M. Lingelbach, R. Martín-Martín, F. Xia, K. E. Vainio, Z. Lian, C. Gokmen, S. Buch, K. Liu, S. Savarese, H. Gweon, J. Wu, and L. Fei-Fei · 2022
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Learning neuro-symbolic relational transition models for bilevel planning
R. Chitnis, T. Silver, J. B. Tenenbaum, T. Lozano-Pérez, and L. P. Kaelbling · 2022
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Modular lifelong reinforcement learning via neural composition
J. A. Mendez, H. van Seijen, and E. Eaton · 2022
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Overcoming the pitfalls of prediction error in operator learning for bilevel planning
N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, and L. P. Kaelbling · 2022
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Discovering state and action abstractions for generalized task and motion planning
A. Curtis, T. Silver, J. B. Tenenbaum, T. Lozano-Pérez, and L. Kaelbling · 2022
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Efficient continual learning with modular networks and task-driven priors
T. Veniat, L. Denoyer, and M. Ranzato · 2021
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Continual learning via local module composition
O. Ostapenko, P. Rodriguez, M. Caccia, and L. Charlin · 2021
Cited alongside, same era.
Learning symbolic operators for task and motion planning
T. Silver, R. Chitnis, J. Tenenbaum, L. P. Kaelbling, and T. Lozano-Pérez · 2021
Cited alongside, same era.
Learning compositional models of robot skills for task and motion planning
Z. Wang, C. R. Garrett, L. P. Kaelbling, and T. Lozano-Pérez · 2021
Cited alongside, same era.
Structured deep generative models for sampling on constraint manifolds in sequential manipulation
J. Ortiz-Haro, J.-S. Ha, D. Driess, and M. Toussaint · 2021
Cited alongside, same era.
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Representation, learning, and planning algorithms for geometric task and motion planning
B. Kim, L. Shimanuki, L. P. Kaelbling, and T. Lozano-Pérez · 2022
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Learning neuro-symbolic skills for bilevel planning
T. Silver, A. Athalye, J. B. Tenenbaum, T. Lozano-Pérez, and L. P. Kaelbling · 2022
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How to reuse and compose knowledge for a lifetime of tasks: A survey on continual learning and functional composition
J. A. Mendez and E. Eaton · 2023
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Predicate invention for bilevel planning
T. Silver, R. Chitnis, N. Kumar, W. McClinton, T. Lozano-Pérez, L. P. Kaelbling, and J. Tenenbaum · 2023
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Synergistic task and motion planning with reinforcement learning-based non-prehensile actions
G. Liu, J. de Winter, D. Steckelmacher, R. K. Hota, A. Nowe, and B. Vanderborght · 2023
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J. J. Johnson, A. H. Qureshi, and M. Yip · 2023
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