25 citations · 31 across the 2 of their papers we have counts for
3 papers · 1 filter
Heuristic Methods and Performance Bounds for Photonic Design
Guillermo Angeris, Jelena Vučković, Stephen Boyd
In the photonic design problem, a scientist or engineer chooses the physical parameters of a device to best match some desired device behavior. Many instances of the photonic desig…
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang, Jongho Kim, Brendan O'Donoghue +1
Policy gradient methods are among the most effective methods for large-scale reinforcement learning, and their empirical success has prompted several works that develop the foundat…
Fundamental bounds for scattering from absorptionless electromagnetic structures
Rahul Trivedi, Guillermo Angeris, Logan Su +3
The ability to design the scattering properties of electromagnetic structures is of fundamental interest in optical science and engineering. While there has been great practical su…