A comprehensive full-stack development learning resource covering programming languages, frameworks, databases, system architecture, and data structures, with practical code examples and detailed ...
Reinforcement learning (RL) provides a computational framework in which an agent learns optimal policies by interacting with the environment and receiving feedback in the form of rewards (Sutton and ...
Abstract: Q-learning and double Q-learning are well-known sample-based, off-policy reinforcement learning algorithms. However, Q-learning suffers from overestimation bias, while double Q-learning ...
Apple, Meta, and Google are locked in a fierce battle to lead the next wave of AI, and they’ve recently increased their focus on hardware. With its latest acquisition of the AI startup Q.ai, Apple ...
SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...
Abstract: In this paper, a new data-based Q-learning algorithm is proposed to address the optimal control issue for a class of discrete-time switched affine systems (SASs). The algorithm shifts the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results