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We present PDDLGym, a framework that automatically constructs OpenAI Gym environments from PDDL domains and problems.
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The fast downward planning system
Malte Helmert · 2006
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Learning symbolic models of stochastic domains
Hanna M Pasula, Luke S Zettlemoyer, and Leslie Pack Kaelbling · 2007
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Building portable options: Skill transfer in reinforcement learning
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Learning partially observable deterministic action models
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Imagenet: A large-scale hierarchical image database
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The 2014 international planning competition: Progress and trends
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Glue: A multi-task benchmark and analysis platform for natural language understanding
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MoleculeNet: a benchmark for molecular machine learning
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Planning with noisy probabilistic relational rules
Tobias Lang and Marc Toussaint · 2010
Cited alongside, same era.
Pyperplan. https://bitbucket.org/malte/pyperplan , 2011
Malte Helmert · 2011
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Exploration in relational domains for model-based reinforcement learning
Tobias Lang, Marc Toussaint, and Kristian Kersting · 2012
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SWI-Prolog
Jan Wielemaker, Tom Schrijvers, Markus Triska, and Torbjörn Lager · 2012
Cited alongside, same era.
Constructing symbolic representations for high-level planning
George Konidaris, Leslie Kaelbling, and Tomas Lozano-Perez · 2014
Cited alongside, same era.
Learning sparse relational transition models
Victoria Xia, Zi Wang, Kelsey Allen, Tom Silver, and Leslie Pack Kaelbling · 2019
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GLIB: Exploration via goal-literal babbling for lifted operator learning
Rohan Chitnis, Tom Silver, Joshua Tenenbaum, Leslie Pack Kaelbling, and Tomas Lozano-Perez · 2020
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Learning skill hierarchies from predicate descriptions and self-supervision
Tom Silver, Rohan Chitnis, Anurag Ajay, Josh Tenenbaum, and Leslie Pack Kaelbling · 2020
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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 · 2020
Closest in time.
Soar group PDDL repository. https://github.com/SoarGroup , Accessed Jan 2020
2020
Closest in time.