Scholar
William Sharpless
Google Scholar ID: xE-3uXgAAAAJ
University of California, San Diego
Citations & Impact
Citations
242
H-index
5
i10-index
4
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Dual Objective Reinforcement Learning with Novel HJB Forms - Recently Submitted, September 2025
- MADR: MPC-guided Adversarial DeepReach - Recently Submitted, September 2025
- Reachability Barrier Networks: Learning HJ for Smooth and Flexible CBFs - Recently Submitted, April 2025
- Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games - Learning for Dynamics & Control (Best Paper Nom.) - December 2024
- State-Augmented Linear Games with Antagonistic Error for High-Dimensional, Nonlinear Hamilton-Jacobi Reachability - Conference on Decision and Control - March 2024
- Conservative Linear Envelopes for High-Dimensional, Hamilton-Jacobi Reachability for Nonlinear Systems via the Hopf Formula - Transactions on Automatic Control - April 2024
Research Experience
- Visiting Chuchu Fan's REALM lab (Fall 2025).
Education
- Undergraduate degree in Applied Mathematics from UC Berkeley, where he worked with Claire Tomlin, Adam Arkin, and Jay Keasling; currently pursuing a PhD at UC San Diego under Sylvia Herbert's Safety and Autonomous Systems group.
Background
- Mechanical and Aerospace PhD candidate, focusing on differential games (HJB-PDE), control, and learning. Thesis concentrates on feasible methods for safe, high-dimensional autonomy. HHMI/NIH Interfaces fellow, supported by ONR and the Society of Hellman.
Miscellany
- Contact: willsharpless [at] ucsd [dot] edu / CV / Google Scholar / Github / Linkedin
Co-authors