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5下载:
强化学习的Q算法matlab代码。适合寻找最优路径。让您对q算法一定有直观的理解!-A matlab program about Q of Reinforcement Learning Algorithm
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强化学习算法的MATLAB仿真实例,希望能够对大家有帮助.-Q-learning algorithm of MATLAB simulation examples,wish it can help you.
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q学习算法的一个例程,上传与大家分享一下-q learning algorithm, a routine, upload to share with you some
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RL在求解标准小车爬山问题时的matlab程序,采用算法为经典的Q学习算法-RL matlab program in solving mountaincar problem, the algorithm is the classic Q-learning algorithm
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增强式算法中的Q-学习算法,MATLAB实现,用于迷宫的最佳路径搜索-Enhanced Q-learning algorithm-algorithm, MATLAB implementation for the maze path search
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An Example for Reinforcement Learning using Q-learning with epsilon-greedy exploration(The deterministic cleaning-robot MDP a cleaning robot has to collect a used can also has to recharge its batteries. the state describes the position of the robot a
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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.
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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 out the shortest path to the goa
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在动态环境中使用Q学习优化算法进行优化,仿真软件为Matlab(Q-learning optimization algorithm is used to optimize in dynamic environment. The simulation software is MATLAB)
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基于matlab实现强化学习算法中的Q-learning算法,进行训练(The Q-learning algorithm of reinforcement learning algorithm is realized based on MATLAB)
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