Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Abstract: Nonlinear media are the building blocks for nonlinear optical devices. The parameter retrieval of nonlinear media is an important problem for nonlinear optics. However, the maturity and ...
Abstract: Both imaging and inversion of potential fields allow the estimation of the source-property distribution. Here, we compare these methods in order to assess their relative advantages and ...
Abstract: Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recovering a ...
This is a python implementation of the Maximum Entropy Inverse Reinforcement Learning (MaxEnt IRL) algorithm based on the similarly named paper by Ziebart et al. and the Maximum Causal Entropy Inverse ...
This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
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