Introduction to Reinforcement Learning
Talk, University of Cambridge, Cambridge, UK
A 1.5 hour tutorial on RL, given for the ELLIS 2024 Probabilistic Machine Learning Summer School.
Talks and presentations
Reinforcement Learning under Partial Observability
Talk, University of Macau, Macau SAR, China
Reinforcement learning agents have mastered complex games like Go, Atari, or DotA 2, outperforming the best humans on Earth. Yet, these impressive feats are constrained to games or simulations. What prevents us from training superintelligent robots using reinforcement learning? In this talk, we will explore one major roadblock: limited and imperfect sensor data. We will investigate deep memory models as a solution to this challenge. Our journey will cover a number of deep learning architectures, such as recurrent neural networks, graph neural networks, and linear transformers.
An Introduction to Reinforcement Learning
Talk, Toshiba Research, Cambridge, UK
An hour-long talk deriving the basics of value-based and policy-based reinforcement learning.