- Aviv is an assistant professor in the Electrical Engineering Department at Technion - Israel Institute of Technology. Aviv was a post-doc at UC Berkeley, and received his PhD from Technion. His long term goal is to bring robots into human-centered domains such as homes and hospitals. Towards this goal, some fundamental questions need to be solved, such as how can machines learn models of their environments that are useful for performing tasks, and how to learn behavior from interaction in an interpretable and safe manner. Most of his work falls under the topics of reinforcement learning and robotics, and their connections to representation learning, planning, and risk-averse optimization. He is the recipient of a Google faculty award (2019) and a NeurIPS Best Paper Award (2016).
- Deep reinforcement learning
- Learning for robotic control
- Representation learning for planning and control
- Robotic manipulation
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