Martin, John D.

7 publications

CoRL 2023 MOTO: Offline Pre-Training to Online Fine-Tuning for Model-Based Robot Learning Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn

ICLRW 2023 MOTO: Offline to Online Fine-Tuning for Model-Based Reinforcement Learning Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D Martin, Mariano Phielipp, Chelsea Finn

ICLRW 2023 Model-Based Adversarial Imitation Learning as Online Fine-Tuning Rafael Rafailov, Victor Kolev, Kyle Beltran Hatch, John D Martin, Mariano Phielipp, Jiajun Wu, Chelsea Finn

ICML 2023 Settling the Reward Hypothesis Michael Bowling, John D Martin, David Abel, Will Dabney

NeurIPSW 2022 Learning to Prioritize Planning Updates in Model-Based Reinforcement Learning Bradley Burega, John D Martin, Michael Bowling

CoRL 2018 Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation John D. Martin, Jinkun Wang, Brendan J. Englot

CoRL 2017 Extending Model-Based Policy Gradients for Robots in Heteroscedastic Environments John D. Martin, Brendan J. Englot