Efficient state-space modularization for planning: theory, behavioral and neural signatures

Daniel McNamee, Daniel M. Wolpert, Máte Lengyel. Efficient state-space modularization for planning: theory, behavioral and neural signatures. In Daniel D. Lee, Masashi Sugiyama, Ulrike V. Luxburg, Isabelle Guyon, Roman Garnett, editors, Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, December 5-10, 2016, Barcelona, Spain. pages 4511-4519, 2016. [doi]

Abstract

Abstract is missing.