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 |