15 citations · 18 across the 2 of their papers we have counts for
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cs.AI2023★ 2 cited
Learning a Hierarchical Planner from Humans in Multiple Generations
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins +2
A typical way in which a machine acquires knowledge from humans is by programming. Compared to learning from demonstrations or experiences, programmatic learning allows the machine…
cs.AI2021★ 3 cited
Modeling human intention inference in continuous 3D domains by inverse planning and body kinematics
Yingdong Qian, Marta Kryven, Tao Gao +2
How to build AI that understands human intentions, and uses this knowledge to collaborate with people? We describe a computational framework for evaluating models of goal inference…