However, these AI learning methods are not necessarily silos. One of the most interesting AI trends is the convergence of reinforcement learning with supervised and unsupervised learning in more ...

The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to ... The ...

Q-learning type algorithms with function approximation – q-learning with linear function approximator, fitted q-iteration, deep q-network, double deep q-learning, convergence analysis Policy gradient ...

DeepMind dubbed its Atari solution Deep Q-learning after an earlier reinforcement learning technique called Q-learning. DeepMind’s Atari AI included a function—called the Q function—that ...

In order to solve the problem that the existing reinforcement learning algorithm is difficult to converge due to the excessive state space of the three-dimensional path planning of the unmanned aerial ...