2 citations · 2 across the 2 of their papers we have counts for
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cs.AI2026
Prospective Compression in Human Abstraction Learning
Leonardo Hernandez Cano, Ivan Zareski, Luisa El Amouri +6
A core challenge in program synthesis is online library learning: the incremental acquisition of reusable abstractions under uncertainty about future task demands. Existing algorit…
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…