Watson, Joe

6 publications

TMLR 2025 Machine Learning with Physics Knowledge for Prediction: A Survey Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Buelow, Tanmay Goyal, Jan Peters, Martin W Hoffmann

NeurIPS 2025 Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization Daniel Palenicek, Florian Vogt, Joe Watson, Jan Peters

NeurIPS 2023 Coherent Soft Imitation Learning Joe Watson, Sandy Huang, Nicolas Heess

CoRL 2022 Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes Joe Watson, Jan Peters

AISTATS 2021 Latent Derivative Bayesian Last Layer Networks Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters

CoRL 2019 Stochastic Optimal Control as Approximate Input Inference Joe Watson, Hany Abdulsamad, Jan Peters