Recent & Upcoming Talks

Huawei-Edinburgh Joint Lab: Discrete Codebook World Models

Nordic AI Meet & AI Day: Sample-efficient Reinforcement Learning with Implicitly Quantized Representations

iQRL: Implicitly Quantized Representations for Sample-Efficient Reinforcement Learning

I will be presenting our research on self-supervised representation learning for reinforcement learning at the [International Workshop of Intelligent Autonomous Learning Systems …

Model-Based Reinforcement Learning

I'll be giving a lecture on model-based RL at the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2024.

(Function-space) Laplace Approximation for Bayesian Neural Networks

Neural Networks as Sparse Gaussian Processes for Sequential Learning

I will be presenting our research on bayesian deep learning for sequential learning at the [International Workshop of Intelligent Autonomous Learning Systems …

Model-based reinforcement learning under uncertainty

Model-based reinforcement learning under uncertainty: the importance of knowing what you don't know

Aalto RL Reading Club: Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One Objective

PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems