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Implicitly Coordinated Multi-Agent Path Finding under Destination Uncertainty: Success Guarantees and Computational Complexity (Extended Abstract).

, , , and . IJCAI, page 6372-6376. ijcai.org, (2019)

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Learning Actions Models: Qualitative Approach., and . LORI, volume 9394 of Lecture Notes in Computer Science, page 40-52. Springer, (2015)Bisimulation for Single-Agent Plausibility Models., , , and . Australasian Conference on Artificial Intelligence, volume 8272 of Lecture Notes in Computer Science, page 277-288. Springer, (2013)Complexity Results in Epistemic Planning., , and . IJCAI, page 2791-2797. AAAI Press, (2015)Seeing is Believing: Formalising False-Belief Tasks in Dynamic Epistemic Logic.. ECSI, volume 1283 of CEUR Workshop Proceedings, page 87-107. CEUR-WS.org, (2014)Hybrid Logical Analyses of the Ambient Calculus., and . WoLLIC, volume 4576 of Lecture Notes in Computer Science, page 83-100. Springer, (2007)Planning from Pixels in Atari with Learned Symbolic Representations., , and . AAAI, page 4941-4949. AAAI Press, (2021)Learning to Plan from Raw Data in Grid-based Games., , and . GCAI, volume 55 of EPiC Series in Computing, page 54-67. EasyChair, (2018)Many-valued hybrid logic., , and . Advances in Modal Logic, page 111-132. College Publications, (2008)Synthetic completeness proofs for Seligman-style tableau systems., , , and . Advances in Modal Logic, page 302-321. College Publications, (2016)Conditional Epistemic Planning., , and . JELIA, volume 7519 of Lecture Notes in Computer Science, page 94-106. Springer, (2012)