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A longstanding objective in classical planning is to synthesize policies that generalize across multiple problems from the same domain.
Learning and executing generalized robot plans
Richard E Fikes, Peter E Hart, and Nils J Nilsson · 1972
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Induction of first-order decision lists: Results on learning the past tense of english verbs
Raymond J Mooney and Mary Elaine Califf · 1995
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Pddl-the planning domain definition language
Drew McDermott, Malik Ghallab, Adele Howe, Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins · 1998
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Learning action strategies for planning domains
Roni Khardon · 1999
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Planning as heuristic search
Blai Bonet and Héctor Geffner · 2001
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Learning action strategies for planning domains using genetic programming
John Levine and David Humphreys · 2003
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Planning with loops
H. Levesque · 2005
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Learning Domain-Specific Planners from Example Plans
Elly Zoe Winner · 2008
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Learning control knowledge for forward search planning
Sungwook Yoon, Alan Fern, and Robert Givan · 2008
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Planning with loops: Some new results
Yuxiao Hu and Hector Levesque · 2009
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Directed search for generalized plans using classical planners
Siddharth Srivastava, N. Immerman, S. Zilberstein, and Tianjiao Zhang · 2011
Cited alongside, same era.
Foundations and applications of generalized planning
Siddharth Srivastava · 2011
Cited alongside, same era.
Policies that generalize: Solving many planning problems with the same policy
Blai Bonet and Hector Geffner · 2015
Cited alongside, same era.
Computing plans with control flow and procedures using a classical planner
Sergio Jiménez and Anders Jonsson · 2015
Cited alongside, same era.
Universal value function approximators
Tom Schaul, Daniel Horgan, Karol Gregor, and David Silver · 2015
Cited alongside, same era.
Features, projections, and representation change for generalized planning
Learning features and abstract actions for computing generalized plans
Blai Bonet, Guillem Frances, and Hector Geffner · 2019
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Generalized planning via abstraction: Arbitrary numbers of objects
León Illanes and Sheila A. McIlraith · 2019
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A review of generalized planning
Sergio Jiménez, Javier Segovia-Aguas, and Anders Jonsson · 2019
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Learning generalized relational heuristic networks for model-agnostic planning
Rushang Karia and Siddharth Srivastava · 2020
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Generalized planning with deep reinforcement learning
Or Rivlin, Tamir Hazan, and Erez Karpas · 2020
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Blai Bonet and Hector Geffner · 2018
Cited alongside, same era.
Learning generalized reactive policies using deep neural networks
Edward Groshev, Maxwell Goldstein, Aviv Tamar, Siddharth Srivastava, and Pieter Abbeel · 2018
Cited alongside, same era.
Temporal difference models: Model-free deep rl for model-based control
Vitchyr Pong, Shixiang Gu, Murtaza Dalal, and Sergey Levine · 2018
Cited alongside, same era.
Computing hierarchical finite state controllers with classical planning
Javier Segovia-Aguas, Sergio Jiménez, and Anders Jonsson · 2018
Cited alongside, same era.
Tom Silver and Rohan Chitnis · 2020
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Learning general policies from small examples without supervision, 2021
Guillem Francès, Blai Bonet, and Hector Geffner · 2021
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Generalized planning as heuristic search
Javier Segovia-Aguas, Sergio Jiménez, and Anders Jonsson · 2021
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Planning with learned object importance in large problem instances using graph neural networks
Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua Tenenbaum, Tomas Lozano-Perez, and Leslie Pack Kaelbling · 2021
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