Topin, NicholayHaltmeyer, NicholasSquire, ShawnWinder, JohnMacGlashan, JamesdesJardins, Marie2023-10-122023-10-12http://hdl.handle.net/11603/30094Goal for artificial agents: Learn the most efficient process for completing a task in a given domain o Corollary: Reuse and transfer learned knowledge o Previous work assumed that a mapping was provided or that all domains were identical o Our contributions:  Automatically map across domains with different objects and attributes  Leverage prior knowledge by identifying commonalities between source and target domains  Provide novel techniques for scoring mappings and abstracting domains o Our method outperforms Pickett and Barto's PolicyBlocks (2002) and MacGlashan's Transfer Options (2013)1 pageen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Text