Ian Osband

A Research scientist at OpenAI discusses information theory and RL, joint predictions, and Epistemic Neural Networks. They explore challenges in reinforcement learning, handling uncertainty, and balancing exploration vs exploitation. The podcast delves into the importance of joint predictive distributions, Thompson sampling approximation, and uncertainty frameworks in Large Language Models (LLMs).