2 citations · 2 across the 2 of their papers we have counts for
3 papers
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Aviv Netanyahu, Tianmin Shu, Joshua Tenenbaum +1
In this work, we consider one-shot imitation learning for object rearrangement tasks, where an AI agent needs to watch a single expert demonstration and learn to perform the same t…
Image interpretation by iterative bottom-up top-down processing
Shimon Ullman, Liav Assif, Alona Strugatski +4
Scene understanding requires the extraction and representation of scene components together with their properties and inter-relations. We describe a model in which meaningful scene…
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception
Aviv Netanyahu, Tianmin Shu, Boris Katz +2
The ability to perceive and reason about social interactions in the context of physical environments is core to human social intelligence and human-machine cooperation. However, no…