The Experience-Memory Q-Learning Algorithm for Robot Path Planning in Unknown Environment
In order to solve the problem of slow convergence speed and long planned path when the robot plans a path in unknown environment by using Q-learning algorithm, we propose the Experience-Memory Q-Learning (EMQL) algorithm based on the continuous update of the shortest distance from the current state...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9022975/ |