Results for "Deep Reinforcement Learning"
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3 results
Episodes
StandardSummaries only[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton
Latent Space: The AI Engineer Podcast· Jan 2, 2026
From undergraduate research seminars at Princeton to winning Best Paper award at NeurIPS 2025, Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach defied conventional wisdom by scaling rei…
StandardSummaries onlyHands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
CyberSecurity Summary· May 30, 2026
A comprehensive guide for building intelligent systems using popular Python frameworks like Scikit-Learn and TensorFlow. The author distinguishes between supervised, unsupervised, and reinforcement learning, while also d…
machine-learningdeep-learningtensorflow
StandardSummaries onlyHow OpenAI Builds AI Agents That Think and Act with Josh Tobin
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)· Josh Tobin· May 6, 2025
Today, we're joined by Josh Tobin, member of technical staff at OpenAI, to discuss the company’s approach to building AI agents. We cover OpenAI's three agentic offerings—Deep Research for comprehensive web research, Ope…
llmopenaiagents