26 citations · 43 across the 25 of their papers we have counts for
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cs.AI2017★ 2 cited
Modifying Optimal SAT-based Approach to Multi-agent Path-finding Problem to Suboptimal Variants
Pavel Surynek, Ariel Felner, Roni Stern +1
In multi-agent path finding (MAPF) the task is to find non-conflicting paths for multiple agents. In this paper we focus on finding suboptimal solutions for MAPF for the sum-of-cos…
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…
cs.AI2017
Sequential Plan Recognition
Reuth Mirsky, Roni Stern, Ya'akov +2
Plan recognition algorithms infer agents' plans from their observed actions. Due to imperfect knowledge about the agent's behavior and the environment, it is often the case that th…