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该文采用了两种学习方法,即遗传算法和强化学习实现了智能机器人的避碰行为学习。在介绍了两种学习机制后,给出了仿真实验结果,并对两种学习方法的异同进行了分析。
This paper uses two learning methods, namely, genetic algorithm and reinforcement learning to achieve intelligent robot avoidance behavior learning. After introducing two learning mechanisms, the simulation results are given, and the similarities and differences between the two learning methods are analyzed.