Andreas Krause (ETH Zuerich): "Safe Exploration in Reinforcement Learning"

Planning and Discussion Session

Machine Learning in the Optimization and Discovery Loop with Andreas Krause

John Tsitsiklis (MIT): The Shades of Reinforcement Learning

Stefano Soatto (UCLA): Dynamics and Control of Differential Learning

Andreas Krause: Safe and Efficient Exploration in Reinforcement Learning

RLSS 2023 - Model-based Reinforcement Learning - Andreas Krause (presented by Felix Berkenkamp)

Why Trump's tariff chaos actually makes sense (big picture)

The Man Who Almost Broke Math (And Himself...)

Physicist Brian Cox explains quantum physics in 22 minutes

MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

Test-Time Adaptation: A New Frontier in AI

Manfred Morari (University of Pennsylvania): A Practitioner's Perspective

Making Real-World Reinforcement Learning Practical

AI Safety Gym - Computerphile

MIT 6.S191 (2024): Reinforcement Learning

Sergey Levine (UC Berkeley): Robots That Learn By Doing

Benjamin Recht: Optimization Perspectives on Learning to Control (ICML 2018 tutorial)

Francesco Borrelli (UC Berkeley): Learning to Predict and Control

Stanford Seminar - Information Theory of Deep Learning, Naftali Tishby

SDSCon 2024 - Philippe Rigollett