Talks

Data-Efficient Approaches to Learning in Robotics
Jul 8, 2021
Bayesian Inference for Data-Efficient Reinforcement Learning
In many high-impact areas of machine learning, we face the challenge of data-efficient learning, i.e., learning from scarce data. This …
Feb 16, 2021
There and Back Again: A Tale of Slopes and Expectations (NeurIPS-2020 Tutorial by Marc Deisenroth and Cheng Soon Ong)
Integration and differentiation play key roles in machine learning. We take a tour of some old and new results on methods and …
Dec 7, 2020
Slides Video
Data-Efficient Machine Learning for Autonomous Robots
In many high-impact areas of machine learning, we face the challenge of data-efficient learning, i.e., learning from scarce data. This …
Dec 3, 2020
Probabilistic Models for Data-efficient Reinforcement Learning
On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …
Jul 29, 2020
Slides
Data-Efficient Robot Learning

On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …

Apr 26, 2020
Slides
Useful Models for Robot Learning

In robot learning we face challenge of data-efficient learning. In this talk, we will make the case for three types of useful models …

Mar 5, 2020
Slides
Data-Efficient Reinforcement Learning with Probabilistic Models

On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …

Feb 13, 2020
Slides Video
Data-Efficient Reinforcement Learning with Probabilistic Models

On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …

Jan 8, 2020
Data-Efficient Reinforcement Learning with Probabilistic Models

On our path toward fully autonomous systems, i.e., systems that operate in the real world without significant human intervention, …

Jan 7, 2020
Slides