上述传统的Q学习(classical Q-learning)对于有限的状态和行动空间是收敛的,只要满足每一对状态-行动都被无限次地更新。除此之外,我们也可以使用神经网络(Neural Networks)来实现Q值函数的更新。和传统的Q学习不断更新一个Q值函数表格不一样,神经网络实现Q值函数的更新是不断最小化一个损失函数(loss function),这个损...
Q-Learning in Machine Learning - Learn about Q-Learning, a key reinforcement learning algorithm used in machine learning. Understand its principles, applications, and implementation.
Moreover, Q-learning confronts the challenges posed by continuous or large state spaces. Techniques like discretization enable handling continuous state spaces, while function approximation methods, such as neural networks, aid in managing vast state spaces by approximating Q-values for unexplored or num...
experiences to learn the optimal behavior for a task. The Q-learning process involves modeling optimal behavior by learning an optimalaction value functionor q-function. This function represents the optimal long-term value of actionain statesand subsequently follows optimal behavior in every subsequent...
Q-Learning算法 Q-Learning算法中的“Q”代表着策略π的质量函数(Quality function),该函数能在观察状态s确定动作a后,把每个状态动作对 (s, a) 与总期望的折扣未来奖励进行映射。 Q-Learning算法属于model-free型,这意味着它不会对MDP动态知识进行建模,而是直接估计每个状态下每个动作的Q值。然后,通过在每个状态下...
Q-Learning算法 Q-Learning算法中的“Q”代表着策略π的质量函数(Quality function),该函数能在观察状态s确定动作a后,把每个状态动作对 (s, a) 与总期望的折扣未来奖励进行映射。 Q-Learning算法属于model-free型,这意味着它不会对MDP动态知识进行建模,而是直接估计每个状态下每个动作的Q值。然后,通过在每个状态下...
<https://morvanzhou.github.io/tutorials/machine-learning/reinforcement-learning/2-1-general-rl/> 莫凡大神的有趣的强化学习视频通俗易懂 <>1、算法思想 QLearning是强化学习算法中value-based的算法,Q即为Q(s,a)就是在某一时刻的 s 状态下(s∈S),采取 动作a ...
Q-Learning 整体算法 {#Q-Learning整体算法} 这一张图概括了我们之前所有的内容. 这也是 Q learning 的算法, 每次更新我们都用到了 Q 现实和 Q 估计, 而且 Q learning 的迷人之处就是 在 Q(s1, a2) 现实 中, 也包含了一个 Q(s2) 的最大估计值, 将对下一步的衰减的最大估计和当前所得到的奖励当...
---5 Python代码之模型与Q-Learning--- 这篇文章主要从如何用Python实现算法的角度来总结。如标题所示,这个启发式算法结合了Q-learning和Ant Colony Optimization,其本质思想是强化学习的思想,即通过不断地试错来寻找可接受的近似最优解,并根据奖励机制来更新Q矩阵。其最终目的是训练一个Q矩阵,使得智能算法在根据Q...
Python library for Reinforcement Learning. reinforcement-learningqlearningdeep-learningdeep-reinforcement-learningopenai-gympytorchdqnrlatariddpgsactrpomujocopybullet UpdatedApr 2, 2025 Python 🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras ...