IMPROVING REINFORCEMENT LEARNING FOR QUADRUPED ROBOT LOCOMOTION
Keywords:
robot locomotion, machine learning, reinforcement learningAbstract
This article addresses the issue of machine learning of a quadruped robot for flexible locomotion, in slower learning environments with limited computational resources. To create a solution, reinforcement learning and a number of techniques are used to improve the result and speed of machine learning.
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