17 hours ago · MLP:FIM Imageboard - Post #3267624 - safe, ai content, derpibooru import, machine learning generated, fluttershy, pegasus, pony, g4, belly, big belly, female, image ...
17 hours ago · Q-Learning是一个决策过程，如何决策的？. 假设行为准则已经学习好：. 目前处于S1状态，将要选择接下来的a1、a2行为，并且已知a2的潜在奖励比a1高，可以用一个Q表来表示奖励。. 这样就可以：Q (S1,S2)现实=R+γ*maxQ (. little茜儿. 文章浏览阅读22次。. 目前处于S1状态 ...
Model-free reinforcement learning algorithm
Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the environment (hence "model-free"), and it can handle problems with stochastic transitions and rewards without requiring adaptations. For any finite Markov decision process, Q-learning finds an optimal policy in the sense of maximizing the expected val... Wikipedia
