Joe Watson

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 25

Top Topics

Bayesian Classification

Top Venues

Br. J. Educ. Technol.

IEEE Robotics Autom. Lett.

Publications

Joe Watson, Guy Aglionby, Samuel March
Using machine learning to create a repository of judgments concerning a new practice area: a case study in animal protection law. Artif. Intell. Law 31 (2) (2023)
Joe Watson, Jasmin Baier, Winnie Mughogho, Mark Millrine
An exploratory investigation into the factors related to EdTech use among Kenyan girls. Br. J. Educ. Technol. 54 (4) (2023)
Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters
Function-Space Regularization for Deep Bayesian Classification. CoRR (2023)
Joe Watson, Sandy H. Huang, Nicolas Heess
Coherent Soft Imitation Learning. NeurIPS (2023)
Joe Watson, Sandy H. Huang, Nicolas Heess
Coherent Soft Imitation Learning. CoRR (2023)
Joe Watson, Jan Peters
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRL (2022)
Joe Watson, Jan Peters
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRR (2022)
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
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. 7 (1) (2022)
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
A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR (2021)
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
Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR (2021)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. ICRA (2021)
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 Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) (2021)
Joe Watson, Jan Peters
Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. ACC (2021)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
A Differentiable Newton-Euler Algorithm for Real-World Robotics. CoRR (2021)
Joe Watson, Sara Hennessy, Anna Vignoles
The relationship between educational television and mathematics capability in Tanzania. Br. J. Educ. Technol. 52 (2) (2021)
Joe Watson, Jan Peters
Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. CoRR (2021)
Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
Latent Derivative Bayesian Last Layer Networks. AISTATS (2021)
Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
Stochastic Control through Approximate Bayesian Input Inference. CoRR (2021)
Joe Watson, Abraham Imohiosen, Jan Peters
Active Inference or Control as Inference? A Unifying View. CoRR (2020)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. CoRR (2020)
Abraham Imohiosen, Joe Watson, Jan Peters
Active Inference or Control as Inference? A Unifying View. IWAI (2020)
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
A Differentiable Newton Euler Algorithm for Multi-body Model Learning. CoRR (2020)
Joe Watson, Hany Abdulsamad, Jan Peters
Stochastic Optimal Control as Approximate Input Inference. CoRL (2019)
Joe Watson, Hany Abdulsamad, Jan Peters
Stochastic Optimal Control as Approximate Input Inference. CoRR (2019)
Joe Watson, Josie Hughes, Fumiya Iida
Real-World, Real-Time Robotic Grasping with Convolutional Neural Networks. TAROS (2017)
Eike Falk Anderson, Leigh McLoughlin, Joe Watson, Sam Holmes, Peter Jones, Hayden Pallett, Brendan Smith
Choosing the Infrastructure for Entertainment and Serious Computer Games - a Whiteroom Benchmark for Game Engine Selection. VS-GAMES (2013)