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Featured Co-authors

Jan Peters
143 publications
Michael Lutter
14 publications
Hany Abdulsamad
14 publications
Rolf Findeisen
10 publications
James V. Zidek
8 publications
Gavin Shaddick
4 publications
Marie Auger-Méthé
3 publications
Johannes Silberbauer
3 publications
Abraham Imohiosen
1 publication
Ruth Joy
1 publication
Sheila J Thornton
1 publication

∙ 10/07/2022

Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes

Monte Carlo methods have become increasingly relevant for control of non...

0 Joe Watson, et al. ∙

∙ 10/24/2021

A Differentiable Newton-Euler Algorithm for Real-World Robotics

Obtaining dynamics models is essential for robotics to achieve accurate ...

0 Michael Lutter, et al. ∙

∙ 05/17/2021

Stochastic Control through Approximate Bayesian Input Inference

Optimal control under uncertainty is a prevailing challenge in control, ...

15 Joe Watson, et al. ∙

∙ 03/10/2021

Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

Discrete-time stochastic optimal control remains a challenging problem f...

0 Joe Watson, et al. ∙

∙ 11/03/2020

Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning

A limitation of model-based reinforcement learning (MBRL) is the exploit...

0 Michael Lutter, et al. ∙

∙ 10/19/2020

A Differentiable Newton Euler Algorithm for Multi-body Model Learning

In this work, we examine a spectrum of hybrid model for the domain of mu...

0 Michael Lutter, et al. ∙

∙ 10/01/2020

Active Inference or Control as Inference? A Unifying View

Active inference (AI) is a persuasive theoretical framework from computa...

6 Joe Watson, et al. ∙

∙ 03/03/2020

A fast Monte Carlo test for preferential sampling

The preferential sampling of locations chosen to observe a spatio-tempor...

0 Joe Watson, et al. ∙

∙ 10/31/2019

A general framework for estimating the spatio-temporal distribution of a species using multiple data types

Species distribution models (SDMs) are useful tools to help ecologists q...

0 Joe Watson, et al. ∙

∙ 10/07/2019

Stochastic Optimal Control as Approximate Input Inference

Optimal control of stochastic nonlinear dynamical systems is a major cha...

0 Joe Watson, et al. ∙

∙ 09/13/2018

A general theory for preferential sampling in environmental networks

This paper presents a general model framework for detecting the preferen...

0 Joe Watson, et al. ∙

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