Q-Learning in Machine Learning - Learn about Q-Learning, a key reinforcement learning algorithm used in machine learning. Understand its principles, applications, and implementation.
In machine learning, Q-learning is a foundational reinforcement learning technique for decision-making in uncertain environments. Unlikesupervised learning, where models learn from labelled data, andunsupervised learning, where patterns are derived from unlabeled data, Q-learning operates within a framework...
Q-Learning没有这个烦恼。 另外一个就是Q-Learning直接学习最优策略,但是最优策略会依赖于训练中产生的一系列数据,所以受样本数据的影响较大,因此受到训练数据方差的影响很大,甚至会影响Q函数的收敛。Q-Learning的深度强化学习版Deep Q-Learning也有这个问题。 在学习过程中,SARSA在收敛的过程中鼓励探索,这样学习过程...
The steps involved in the Q-learning algorithm process include the following: Q-table initialization.The first step is to create the Q-table as a place to track each action in each state and the associated progress. Observation.The agent needs to observe the current state of the environment....
Therefore, algorithm technologies of deep learning, reinforcement learning, and Q-learning, which are typical machine learning algorithms in various fields, such as agricultural technology, personal authentication, wireless network, game, biometric recognition, and image recognition, are being improved ...
本节我们将介绍确定性环境中的Q-learning算法的收敛性。首先,我们给出其定义 对于一个在确定性有限MDP中执行Q-learning算法的智能体,如果它的奖励是有界的,它将其Q表初始化为有限值,采用Algorithm 1中的Q值更新公式更新Q值,它的每一对状态动作对(s,a)都将被访问无穷多次且它的折扣因子\gamma\in [0,1)。那么...
A review of machine learning methods applied to structural dynamics and vibroacoustic 2.3.1 Q-learning Q-learning is a model-free RL algorithm developed by Watkins [340] and is one of the most popular value-based RL algorithms. In Q-learning, the expected future reward (or q-value) of an...
Because of the importance of beamforming in the vertical dimension in 3D MIMO systems, this paper will investigate the effect of antenna downtilt on channel capacity in 3D MIMO systems; and apply it with an enhancement machine learning. The Q-learning algorithm [9,10] enables antenna downtilt ...
4. Q-Learning算法实例:Windy GridWorld 我们还是使用和SARSA一样的例子来研究Q-Learning。如果对windy gridworld的问题还不熟悉,可以复习强化学习(六)时序差分在线控制算法SARSA第4节的第二段。 完整的代码参见我的github: https://github.com/ljpzzz/machinelearning/blob/master/reinforcement-learning/q_learning_win...
4. Q-Learning算法实例:Windy GridWorld 我们还是使用和SARSA一样的例子来研究Q-Learning。如果对windy gridworld的问题还不熟悉,可以复习强化学习(六)时序差分在线控制算法SARSA第4节的第二段。 完整的代码参见我的github: https://github.com/ljpzzz/machinelearning/blob/master/reinforcement-learning/q_learning_win...