2.3k citations · 2.5k across the 7 of their papers we have counts for
3 papers · 1 filter
Unsupervised Learning via Meta-Learning
Kyle Hsu, Sergey Levine, Chelsea Finn
A central goal of unsupervised learning is to acquire representations from unlabeled data or experience that can be used for more effective learning of downstream tasks from modest…
Lazy Abstraction-Based Controller Synthesis
Kyle Hsu, Rupak Majumdar, Kaushik Mallik +1
We present lazy abstraction-based controller synthesis (ABCS) for continuous-time nonlinear dynamical systems against reach-avoid and safety specifications. State-of-the-art multi-…
Lazy Abstraction-Based Control for Safety Specifications
Kyle Hsu, Rupak Majumdar, Kaushik Mallik +1
We present a lazy version of multi-layered abstraction-based controller synthesis (ABCS) for continuous-time nonlinear dynamical systems against safety specifications. State-of-the…