Recent & Upcoming Talks

2024

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

Oct 21, 2024 1:00 PM — Feb 13, 2023 12:30 PM Helsinki, Finland

Aidan Scannell

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 2024.

Jul 23, 2024 2:50 PM — 3:05 PM Darmstädter Haus and Sporthotel Walliser, Kleinwalsertal, Austria

Aidan Scannell

iQRL: Implicitly Quantized Representations for Sample-Efficient Reinforcement Learning

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.

Jul 17, 2024 11:30 AM — 1:00 PM University of Cambridge

Aidan Scannell

Model-Based Reinforcement Learning

2023

(Function-space) Laplace Approximation for Bayesian Neural Networks

In this talk, I’ll present an overview of the Laplace approximation for quantifying uncertainty in Bayesian neural networks. …

Oct 3, 2023 4:30 PM — 5:30 PM Zoom

Aidan Scannell

(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 2023.

Aug 15, 2023 2:50 PM — 3:05 PM Darmstädter Haus and Sporthotel Walliser, Kleinwalsertal, Austria

Aidan Scannell

Neural Networks as Sparse Gaussian Processes for Sequential Learning

Model-based reinforcement learning under uncertainty

In this talk I’ll present our recent paper that has just been accepted into AISTATS 2023, titled Mode-Constrained Model-Based …

Feb 13, 2023 11:30 AM — 12:30 PM University of Cambridge

Aidan Scannell

Model-based reinforcement learning under uncertainty

2022

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

In this guest lecture I present the role of uncertainty quantification in model-based RL. I show how to quantify uncertainty in …

Nov 15, 2022 2:15 PM — 4:00 PM Aalto University

Aidan Scannell

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

In this talk I presented “Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One …

Sep 23, 2022 11:00 AM — 11:00 AM Zoom

Aidan Scannell

PhD Thesis: Bayesian Learning for Control in Multimodal Dynamical Systems

Over the last decade, learning-based control has become a popular paradigm for controlling dynamical systems. Although recent …

Sep 13, 2022 11:00 AM — 12:00 PM Aalto University, Finland

2021

Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation

In this talk I will present our ICRA 2021 paper “Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation”.

Jun 3, 2021 11:00 AM — 11:30 AM Xi'an, China

Aidan Scannell

Synergising Bayesian Inference and Probabilistic Geometries for Robotic Control

This talk presented recent work synergising Bayesian inference and probabilistic Riemannian geometries to control multimodal dynamical …

Mar 18, 2021 9:00 AM — 10:00 AM Cognitive Systems - Technical University of Denmark (DTU)

Aidan Scannell

Synergising Bayesian Inference and Probabilistic Geometries for Robotic Control