Abstract: The development of autonomous driving (AD) algorithms and their testing would be very expensive when real-world vehicles and environments would be used from the very beginning of development ...
Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...
QAOA (Quantum Approximate Optimization Algorithm): Designed for solving MaxCut problems on graphs. Grover's Algorithm: Implements the unstructured search algorithm with an optional analytical solution ...
Notifications You must be signed in to change notification settings This repository is for every material used and written for the implementation of Shor's Algorithm in quantum computers and quantum ...
The washout motion cueing algorithm (MCA) is a critical element in driving simulators, designed to faithfully reproduce precise motion cues while minimizing false cues during simulation processes, ...
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