3 papers
cs.LG2026
Mitigating Data Scarcity in Spaceflight Applications for Offline Reinforcement Learning Using Physics-Informed Deep Generative Models
Alex E. Ballentine, Nachiket U. Bapat, Raghvendra V. Cowlagi
The deployment of reinforcement learning (RL)-based controllers on physical systems is often limited by poor generalization to real-world scenarios, known as the simulation-to-real…
eess.SY2025
Trajectory Optimization for Minimum Threat Exposure using Physics-Informed Neural Networks
Alexandra E. Ballentine, Raghvendra V. Cowlagi
We apply a physics-informed neural network (PINN) to solve the two-point boundary value problem (BVP) arising from the necessary conditions postulated by Pontryagin's Minimum Princ…
cs.LG2025
Inverse Reinforcement Learning for Minimum-Exposure Paths in Spatiotemporally Varying Scalar Fields
Alexandra E. Ballentine, Raghvendra V. Cowlagi
Performance and reliability analyses of autonomous vehicles (AVs) can benefit from tools that ``amplify'' small datasets to synthesize larger volumes of plausible samples of the AV…