联想记忆的自强式学习控制
Reinforcement Learning Cntrol with Associative Memory
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摘要: 在ASE/ACE模型中引入监督式学习的局部性网络作联想记机制,从而构造一种新 的自强式学习控制器模型RELCAM.仿真结果表明,使用该模型能显著改善学习和控制性能.Abstract: The supervised learning local nets are employed in the ASE/ACE model as the associative memory to construct a novel reinforcement learning controller model called RELCAM, simulation results show that the learning ability and control performance can be improved by using this model.
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Key words:
- Reinforcement learning /
- associative memory /
- ASE/ACE model /
- RELCAM model
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