https://github.com/william-zhan-bot/q-learning_maze
強化學習-以Q學習法 進行小老鼠走迷宮的實驗
https://github.com/william-zhan-bot/q-learning_maze
data-science machine-learning python q q-learning q-learning-algorithm
Last synced: 3 months ago
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強化學習-以Q學習法 進行小老鼠走迷宮的實驗
- Host: GitHub
- URL: https://github.com/william-zhan-bot/q-learning_maze
- Owner: William-Zhan-bot
- Created: 2024-08-15T16:50:08.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-08-29T14:50:46.000Z (9 months ago)
- Last Synced: 2025-01-20T05:11:08.375Z (5 months ago)
- Topics: data-science, machine-learning, python, q, q-learning, q-learning-algorithm
- Language: Python
- Homepage:
- Size: 8.79 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Q-Learning_maze
強化學習-以Q學習法 進行小老鼠走迷宮的實驗
透過函式生成隨機迷宮,可以自行輸入邊長決定迷宮的大小,迷宮必為正方形,範例如下
++++++
+o +
+ S +
+ S +
+ $+
++++++
迷宮會隨機生成S陷阱,數量依據邊長而定,老鼠必須在不碰到陷阱的狀態下抵達$
每次可以走 上 下 左 右 移動一格。
4*4 的迷宮訓練約500次可達穩定
5*5 必須要2000以上
6*6 更複雜...