Joe Watson

According to our database, Joe Watson authored at least 19 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An exploratory investigation into the factors related to EdTech use among Kenyan girls.

Joe Watson, Jasmin Baier, Winnie Mughogho, Mark Millrine

Br. J. Educ. Technol., July, 2023

Using machine learning to create a repository of judgments concerning a new practice area: a case study in animal protection law.

Joe Watson, Guy Aglionby, Samuel March

Artif. Intell. Law, June, 2023

Function-Space Regularization for Deep Bayesian Classification.

Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters

CoRR, 2023

Coherent Soft Imitation Learning.

Joe Watson, Sandy H. Huang, Nicolas Heess

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation.

Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters

IEEE Robotics Autom. Lett., 2022

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

Joe Watson, Jan Peters

Proceedings of the Conference on Robot Learning, 2022

2021

A Differentiable Newton-Euler Algorithm for Real-World Robotics.

Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters

CoRR, 2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.

Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf

CoRR, 2021

Stochastic Control through Approximate Bayesian Input Inference.

Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters

CoRR, 2021

The relationship between educational television and mathematics capability in Tanzania.

Joe Watson, Sara Hennessy, Anna Vignoles

Br. J. Educ. Technol., 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

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

Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

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

Joe Watson, Jan Peters

Proceedings of the 2021 American Control Conference, 2021

Latent Derivative Bayesian Last Layer Networks.

Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Differentiable Newton Euler Algorithm for Multi-body Model Learning.

Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters

CoRR, 2020

Active Inference or Control as Inference? A Unifying View.

Abraham Imohiosen, Joe Watson, Jan Peters

Proceedings of the Active Inference - First International Workshop, 2020

2019

Stochastic Optimal Control as Approximate Input Inference.

Joe Watson, Hany Abdulsamad, Jan Peters

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

Real-World, Real-Time Robotic Grasping with Convolutional Neural Networks.

Joe Watson, Josie Hughes, Fumiya Iida

Proceedings of the Towards Autonomous Robotic Systems - 18th Annual Conference, 2017

2013

Choosing the Infrastructure for Entertainment and Serious Computer Games - a Whiteroom Benchmark for Game Engine Selection.

Eike Falk Anderson, Leigh McLoughlin, Joe Watson, Sam Holmes, Peter Jones, Hayden Pallett, Brendan Smith

Proceedings of the 5th International Conference on Games and Virtual Worlds for Serious Applications, 2013