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Source: KX Systems Release Date: Jul 9, 2024 Discover cutting-edge strategies to elevate your quant trading with our eBook, Seven Innovative Trading Apps and Seven Best Practices You Can Steal. This essential read explores advancements in data management, including streaming analytics, time-series data, generative AI, and vector databases. Learn how to leverage real-time data for a competitive edge in capital markets and apply best practices to your trading strategies. The eBook also features insights from users who have successfully implemented these innovative techniques. Download now to transform your trading approach with the latest in modern data management. Return to the…

Role of Generative AI Agent Assists in the Telecom In today's fast-paced telecom industry, delivering exceptional customer service while maintaining high agent productivity remains a constant challenge. By 2025, Gartner predicts that 80%1 of customer service organizations will turn to generative AI to enhance agent productivity and customer experience. Generative AI Agent Assist solutions like Alepo's are at the forefront of a revolutionary shift in how telecom companies approach customer support and agent enablement. These cutting-edge technologies harness the power of generative AI to provide real-time, contextual assistance to human agents throughout customer interactions. Acting as a knowledgeable copilot, these…

arXiv:2407.04811v1 Announce Type: new Abstract: Q-learning played a foundational role in the field reinforcement learning (RL). However, TD algorithms with off-policy data, such as Q-learning, or nonlinear function approximation like deep neural networks require several additional tricks to stabilise training, primarily a replay buffer and target networks. Unfortunately, the delayed updating of frozen network parameters in the target network harms the sample efficiency and, similarly, the replay buffer introduces memory and implementation overheads. In this paper, we investigate whether it is possible to accelerate and simplify TD training while maintaining its stability. Our key theoretical result demonstrates for the first…