Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...
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 ...
A reinforcement learning framework using Deep Q-Learning to optimize traffic signal timing at intersections. This system uses SUMO (Simulation of Urban MObility) to simulate traffic flow and a neural ...
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