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Dungeon Crawl Stone Soup is a popular, single-player, free and open-source rogue-like video game with a sufficiently complex decision space that makes it an ideal testbed for research in cognitive systems and, more generally, artificial intelligence.
Concept-aware feature extraction for knowledge transfer in reinforcement learning
John Winder and Marie desJardins · 1902
Earlier work this paper cites.
Pddl-the planning domain definition language
Drew McDermott, Malik Ghallab, Adele Howe, Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld, and David Wilkins · 1998
Earlier work this paper cites.
Combining dynamic abstractions in large mdps
Kurt Steinkraus and Leslie Pack Kaelbling · 2004
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Verbal plan explanations for hybrid planning
Julien Bidot, Susanne Biundo, Tobias Heinroth, Wolfgang Minker, Florian Nothdurft, and Bernd Schattenberg · 2010
Earlier work this paper cites.
Preferred explanations: Theory and generation via planning
Shirin Sohrabi, Jorge A. Baier, and Sheila A. McIlraith · 2011
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Planning as an iterative process
David E. Smith · 2012
Cited alongside, same era.
A survey of real-time strategy game ai research and competition in starcraft
Santiago Ontanón, Gabriel Synnaeve, Alberto Uriarte, Florian Richoux, David Churchill, and Mike Preuss · 2013
Cited alongside, same era.
The malmo platform for artificial intelligence experimentation
Matthew Johnson, Katja Hofmann, Tim Hutton, and David Bignell · 2016
Cited alongside, same era.
Plan explanations as model reconciliation: Moving beyond explanation as soliloquy
T. Chakraborti, S. Sreedharan, Y. Zhang, and S. Kambhampati · 2017
Cited alongside, same era.
Explainable planning
Maria Fox, Derek Long, and Daniele Magazzeni · 2017
Cited alongside, same era.
Explainable agency for intelligent autonomous systems
Pat Langley, Ben Meadows, Mohan Sridharan, and Dongkyu Choi · 2017
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Dungeon crawl stone soup tournament results v 0.18
PleasingFungus · 2017
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Elf: An extensive, lightweight and flexible research platform for real-time strategy games
Yuandong Tian, Qucheng Gong, Wenling Shang, Yuxin Wu, and C. Lawrence Zitnick · 2017
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Starcraft ii: a new challenge for reinforcement learning
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, et al · 2017
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