搜索资源列表
TwIST_v2
- % demo_l2_l1 - This demo illustrates the TwIST % algorithm in the l2-l1 optimization problem % % xe = arg min 0.5*||A x-y||^2 + tau ||x||_1 % x % % where A is a generic matrix and ||.||_1 is the l1 norm. % After obtaining the solution we implement a
mariosong
- A nice matlab code to generate famous mario song.
CudaConv
- Convolution of an arbitrary 1D complex signal with an arbitrary filter kernel Author: Mario Tuerschmann please read the .txt files before using.
mariosong
- Put these two files into the same directory and run mariosong.m. It will play the first part of the mario brothers theme song. You can edit note.m to add qualities to the sound
Mario-Forever_Nhom-13
- MARIO GAME I DO IT BY MYSELF AND I WANT TO SHARE TO EVERYONE
GPSR_6.0
- This set of MATLAB files contain an implementation of the gradient projection algorithms described in the paper "Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems" by Mario A. T. Figueiredo, R
Super_Mario
- 经典游戏超级马里奥，matlab *.m文件，已经验证可以正确运行并出现图形界面。-Classic game Super Mario matlab m file. It has been verified to run correctly and the graphical interface emerged.
Super-Mario-Bros.-(Europe)-(Rev-A)
- it is to registfrom acds-it is to registfrom acdsee
human_intelligence
- 在提供的Super Mari Broso游戏平台上实现了一个新的Mario Agent. 该智能体的实现运用了一定规则的A-Star算法及剪枝算法，力求在复杂的环境中走得更远，过关时间更短，过关中获得更多的奖励及更少的惩罚. -In the provision of Super Mari Broso game platform to achieve a new Mario Agent. Use the agent to achieve a certain rule A-Star algorith
mario
- 一个外国学生用机器学习算法完成的红白机上自动通关的马里奥游戏模型的文章介绍 -A foreign student with a machine learning algorithm to automatically complete the NES Mario games clearance article describes the model
ANN
- 自适应神经网络图书馆（Matlab的5.3.1或更高版本）是实现多个自适应神经网络具有不同的自适应算法块的集合。 它主要分布于2001年6月 - 7月詹皮耶罗坎帕（西弗吉尼亚大学）和马里奥·卢卡Fravolini（佩鲁贾大学）。后来改善部分由美国航天局资助NCC5-685支持。 有迹象表明，实施基本上这些种神经网络的块： 自适应线性网络（ADALINE） 多层感知层网络 广义径向基函数网络 动力单元结构（DCS）网络的高斯或圆锥形基函数
神经网络自动跑马里奥
- 利用神经网络学习跑马里奥,脚本源码是NEAT.lua,已经整合在一起 测试方法:打开模拟器EmuHawk.exe,载入游戏,进入游戏后保存(save state),进入目录\SNES\State,找到刚才保存的文件,重命名为DP1.state,把这个文件复制到LUA文件夹和模拟器文件夹下,运行脚本就可以了. 哔哩哔哩上有作者的演示视频,搜索MarI/O(Use neural networks to learn how to run Mario)