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Q_learning
- 强化学习是人工智能中策略学习的一种,基于预期最大利益原则。和博弈论有密切的关系,也是多主体系统学习的常用方法。-Reinforcement learning is a kind of artificial intelligence in the strategic study, based on the principle of best interests is expected. And game theory are closely related, but also multi-agen
RL_Learning
- 详细的讲述强化学习中Q学习算法,并且应用在区域交通系统中,是适合初学者。-RL—learning,q_learning,transform system,for beginner
Q_learning
- 使用html5实现q_learnning算法-use html5 achieve q_learning algorithm
Q_learning
- 强化学习代码,求解贝尔曼方程,用qlearning求解(Reinforcement learning code, behrman equation, using qlearning solution)