2 papers
cs.LG2025
Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
Kevin Vora, Yu Zhang
In this paper, we propose a new solution to reward adaptation (RA) in reinforcement learning, where the agent adapts to a target reward function based on one or more existing sourc…
cond-mat.mes-hall2023
Machine Learning Methods for Background Potential Estimation in 2DEGs
Carlo da Cunha, Nobuyuki Aoki, David Ferry +2
In the realm of quantum-effect devices and materials, two-dimensional electron gases (2DEGs) stand as fundamental structures that promise transformative technologies. However, the…