文件名称:Q-Learning-Algorithm-Implementation
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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 goal and will also create three graphs to measure the performance of the agent.相关搜索: Q-learning
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下载文件列表
文件名 | 大小 | 更新时间 |
---|---|---|
Q-Learning-Algorithm-Implementation-in-MATLAB-master | 0 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\LICENSE | 18047 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\README.md | 3677 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\RandomPermutation.m | 858 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\ReinforcementLearningGreedy.m | 5801 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\ReinforcementLearningUpdateR.m | 5921 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\ReinforcementLearning_RandomPol.m | 4448 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\RewardMatrix100.m | 166 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\RewardMatrix25.m | 4046 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\RewardMatrixNoPunishment.csv | 49411 | 2015-05-09 |
Q-Learning-Algorithm-Implementation-in-MATLAB-master\RewardMatrixPunishment.csv | 49284 | 2015-05-09 |