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Successfully implemented Q-Learning for a simple robot navigation problem of a robot moving on a 5 x 5 grid with one arbitrary goal (reward of +10) and three arbitrary obstacles (reward of -10)
Update : 2025-01-21 Size : 4kb Publisher : YH.HO

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MATLAB scripts for plotting beampatterns for narrowband and wideband signals using linear and circular microphone
Update : 2025-01-21 Size : 2kb Publisher : Matsim

Reinforcement learning, a Q learning algorithm, implementation on a robot that tryies to solve randomly created maze and reach the goal. Note that you can run .m files both on Matlab and Octave.
Update : 2025-01-21 Size : 36kb Publisher : YH.HO

This Q-Learning code for MATLAB has been written by Ioannis Makris and Andrew Chalikiopoulos. It trains an agent to find the shortest way through a 25x25 maze. Following convergence of the algorithm, MATLAB will print ou
Update : 2025-01-21 Size : 18kb Publisher : YH.HO

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Electronic music generation
Update : 2025-01-21 Size : 3kb Publisher : ASD111554

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It is a model of finite control set predictive control FCS-MPC applied to induction motor. The simulation results are very good and communicate with each other.
Update : 2025-01-21 Size : 238kb Publisher : 风之纹章

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Update : 2025-01-21 Size : 56kb Publisher : 1820073171

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It is used for batch recovery of point cloud time information in GXZNZ Format of GXZNZ is customed and is a LAS's closest text format.
Update : 2025-01-21 Size : 2kb Publisher : 雷达张

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load flow optimization technique
Update : 2025-01-21 Size : 12kb Publisher : elbana

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The Kmeans algorithm is a process of repeating the center point of a moving class, moving the center of the class, also known as centroids, to the average position of its members, and then reclassifying its internal memb
Update : 2025-01-21 Size : 703kb Publisher : 悟思

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Matlab simulation program for Wireless Sensor Networks.Routing protocol of simulation wireless sensor
Update : 2025-01-21 Size : 31kb Publisher : Azuki

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MATLAB implementation of particle filter,By looking for a set of random samples which are propagated in the state space to approximate the probability density function, the process of the minimum variance estimation of t
Update : 2025-01-21 Size : 1kb Publisher : 黄子豪
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