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Generalized planning accelerates classical planning by finding an algorithm-like policy that solves multiple instances of a task.
Guarantees for Sound Abstractions for Generalized Planning (Extended Paper)
Bonet, B.; Fuentetaja, R.; E-Martín, Y.; and Borrajo, D. 2019 · 1905
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A Simple Randomization Technique for Generalization in Deep Reinforcement Learning
Lee, K.; Lee, K.; Shin, J.; and Lee, H. 2019 · 1910
Earlier work this paper cites.
Programming in Prolog
Clocksin, W. F.; and Mellish, C. S. 2003 · 2003
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Planning with Loops
Levesque, H. 2005 · 2005
Earlier work this paper cites.
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Chitnis, R.; Silver, T.; Kim, B.; Kaelbling, L. P.; and Lozano-Perez, T. 2020 · 2007
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Planning with loops:1 Some new results
Hu, Y.; and Levesque, H. 2009 · 2009
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Integrated Task and Motion Planning
Garrett, C. R.; Chitnis, R.; Holladay, R.; Kim, B.; Silver, T.; Kaelbling, L. P.; and Lozano-Pérez, T. 2020 · 2010
Earlier work this paper cites.
Wielemaker, J.; Schrijvers, T.; Triska, M.; and Lager, T. 2010 · 2010
Earlier work this paper cites.
A new representation and associated algorithms for generalized planning
Srivastava, S.; Immerman, N.; and Zilberstein, S. 2011 · 2011
Cited alongside, same era.
Improved Non-Deterministic Planning by Exploiting State Relevance
Muise, C.; McIlraith, S. A.; and Beck, J. 2012 · 2012
Cited alongside, same era.
Open-WBO: A Modular MaxSAT Solver,
Martins, R.; Manquinho, V.; and Lynce, I. 2014 · 2014
Cited alongside, same era.
Combined task and motion planning through an extensible planner-independent interface layer
Srivastava, S.; Fang, E.; Riano, L.; Chitnis, R.; Russell, S.; and Abbeel, P. 2014 · 2014
Cited alongside, same era.
Hierarchical Finite State Controllers for Generalized Planning
Segovia-Aguas, J.; Jiménez, S.; and Jonsson, A. 2016 · 2016
Cited alongside, same era.
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
STRIPStream: Integrating Symbolic Planners and Blackbox Samplers
Garrett, C. R.; Lozano-Pérez, T.; and Kaelbling, L. P. 2018 · 2018
Later among the works it cites.
Learning to guide task and motion planning using score-space representation
Kim, B.; Wang, Z.; Kaelbling, L. P.; and Lozano-Pérez, T. 2018 · 2018
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Sim-to-Real Transfer of Robotic Control with Dynamics Randomization
Peng, X. B.; Andrychowicz, M.; Zaremba, W.; and Abbeel, P. 2018 · 2018
Later among the works it cites.
Learning How to Ground a Plan -Partial Grounding in Classical Planning
Gnad, D.; Torralba, A.; Dominguez, M.; Areces, C.; and Bustos, F. 2019 · 2019
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Generalized Planning via Abstraction: Arbitrary Numbers of Objects
Illanes, L.; and McIlraith, S. A. 2019 · 2019
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Tobin, J.; Fong, R.; Ray, A.; Schneider, J.; Zaremba, W.; and Abbeel, P. 2017 · 2017
Cited alongside, same era.
Learning Features and Abstract Actions for Computing Generalized Plans
Bonet, B.; Francès, G.; and Geffner, H. 2018 · 2018
Cited alongside, same era.
Features, Projections, and Representation Change for Generalized Planning
Bonet, B.; and Geffner, H. 2018 · 2018
Cited alongside, same era.
Automatic Generation of High-Level State Features for Generalized Planning
Lotinac, D.; Aguas, J.; Celorrio, S. J.; and Jonsson, A. 2016a
Cited in the paper.
Automatic Generation of High-Level State Features for Generalized Planning
Lotinac, D.; Segovia-Aguas, J.; Jiménez, S.; and Jonsson, A. 2016b
Cited in the paper.
Directed Search for Generalized Plans Using Classical Planners
Srivastava, S.; Immerman, N.; Zilberstein, S.; and Zhang, T. 2011a
Cited in the paper.
Qualitative Numeric Planning
Srivastava, S.; Zilberstein, S.; Immerman, N.; and Geffner, H. 2011b
Cited in the paper.
A review of generalized planning
Jiménez, S.; Segovia-Aguas, J.; and Jonsson, A. 2019 · 2019
Later among the works it cites.
Learning General Policies from Small Examples Without Supervision
Francès, G.; Bonet, B.; and Geffner, H. 2021 · 2021
Closest in time.
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Silver, T.; Chitnis, R.; Curtis, A.; Tenenbaum, J.; Lozano-Perez, T.; and Kaelbling, L. P. 2021 · 2021
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