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Joe Watson
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2020 – today
- 2024
- [i14]Joe Watson, Chen Song
, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffman:
Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR abs/2408.09840 (2024) - [i13]An T. Le, Kay Hansel, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters:
Global Tensor Motion Planning. CoRR abs/2411.19393 (2024) - 2023
- [j4]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): 293-324 (2023) - [j3]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): 1006-1024 (2023) - [c10]Joe Watson, Sandy H. Huang, Nicolas Heess:
Coherent Soft Imitation Learning. NeurIPS 2023 - [i12]Joe Watson, Sandy H. Huang, Nicolas Heess:
Coherent Soft Imitation Learning. CoRR abs/2305.16498 (2023) - [i11]Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters:
Function-Space Regularization for Deep Bayesian Classification. CoRR abs/2307.06055 (2023) - 2022
- [j2]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): 478-485 (2022) - [c9]Joe Watson, Jan Peters:
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRL 2022: 67-79 - [i10]Joe Watson, Jan Peters:
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRR abs/2210.03512 (2022) - 2021
- [j1]Joe Watson
, Sara Hennessy
, Anna Vignoles
:
The relationship between educational television and mathematics capability in Tanzania. Br. J. Educ. Technol. 52(2): 638-658 (2021) - [c8]Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters:
Latent Derivative Bayesian Last Layer Networks. AISTATS 2021: 1198-1206 - [c7]Joe Watson, Jan Peters:
Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. ACC 2021: 1231-1236 - [c6]Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. ICRA 2021: 4163-4170 - [c5]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:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [i9]Joe Watson, Jan Peters:
Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. CoRR abs/2103.06319 (2021) - [i8]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 abs/2105.02087 (2021) - [i7]Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters:
Stochastic Control through Approximate Bayesian Input Inference. CoRR abs/2105.07693 (2021) - [i6]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 abs/2109.10957 (2021) - [i5]Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
A Differentiable Newton-Euler Algorithm for Real-World Robotics. CoRR abs/2110.12422 (2021) - 2020
- [c4]Abraham Imohiosen, Joe Watson, Jan Peters:
Active Inference or Control as Inference? A Unifying View. IWAI 2020: 12-19 - [i4]Joe Watson, Abraham Imohiosen, Jan Peters:
Active Inference or Control as Inference? A Unifying View. CoRR abs/2010.00262 (2020) - [i3]Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
A Differentiable Newton Euler Algorithm for Multi-body Model Learning. CoRR abs/2010.09802 (2020) - [i2]Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters:
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. CoRR abs/2011.01734 (2020)
2010 – 2019
- 2019
- [c3]Joe Watson, Hany Abdulsamad, Jan Peters:
Stochastic Optimal Control as Approximate Input Inference. CoRL 2019: 697-716 - [i1]Joe Watson, Hany Abdulsamad, Jan Peters:
Stochastic Optimal Control as Approximate Input Inference. CoRR abs/1910.03003 (2019) - 2017
- [c2]Joe Watson, Josie Hughes, Fumiya Iida
:
Real-World, Real-Time Robotic Grasping with Convolutional Neural Networks. TAROS 2017: 617-626 - 2013
- [c1]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: 1-8
Coauthor Index
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