Abstract: Recent work (Rantzer, 2022) formulated a class of optimal control problems involving positive linear systems, linear stage costs, and elementwise constraints on control. It was shown that ...
Abstract: A differential dynamic programming (DDP)-based framework for inverse reinforcement learning (IRL) is introduced to recover the parameters in the cost function, system dynamics, and ...
I'd like to contribute an implementation of the Weighted Interval Scheduling problem under the Dynamic Programming section of the repository. This is a classic optimization problem where each interval ...
This educational resource was sponsored by Johnson & Johnson. Part 2 of this educational resource provides insights for institutions seeking to implement a pharmacist-led long-acting injectable ...
At its Made on YouTube event on Tuesday, the company unveiled a series of new ways for creators to earn more with brand deals and the YouTube Shopping program, which lets creators earn money by ...
The assignment aims to design and deliver a virtual investment readiness program for 30 deep-tech startups across Africa. It includes sourcing and selection, tailored training, investor engagement, ...
Section 1. Purpose. Artificial intelligence (AI) is a foundational technology that will define the future of economic growth, national security, and global competitiveness for decades to come. The ...
Jensen Huang said people programming AI is similar to the way "you program a person." Speaking at London Tech Week, the Nvidia CEO said all anyone had to do to program AI was "just ask nicely." He ...
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