Considering discrete and successive state space separately, a entropy based reinforcement learning algorithm and an auto-generating neural network function approximator method for reinforcement learning are researched.

  • 分别针对离散化的状态空间和连续状态空间的压缩问题,提出了基于信息熵的强化学习算法和基于自主生成神经网络函数逼近器的强化学习算法。

  • 互联网摘选 2025-01-19 23:47:47

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