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cs.AI2017
Learning Abduction under Partial Observability
Brendan Juba, Zongyi Li, Evan Miller
Juba recently proposed a formulation of learning abductive reasoning from examples, in which both the relative plausibility of various explanations, as well as which explanations a…
cs.AI2017★ 4 cited
Efficient, Safe, and Probably Approximately Complete Learning of Action Models
Roni Stern, Brendan Juba
In this paper we explore the theoretical boundaries of planning in a setting where no model of the agent's actions is given. Instead of an action model, a set of successfully execu…