Materials science is an interdisciplinary field concerned with the understanding and application of the properties of matter. Materials scientists study the connections between the underlying ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
Abstract: In this paper, we introduce a novel electro-thermo-mechanical simulation framework utilizing the unified FDTD method for efficient and accurate analysis of electrical, thermal, stress, and ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...
Electrical and Computer Engineering at Michigan Tech prepares our students to tackle tomorrow’s challenges in robotics, automation, artificial intelligence, machine learning, alternative energy, and ...
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