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John D. Martin
John D. Martin
Verified email at ualberta.ca - Homepage
Title
Cited by
Cited by
Year
Autonomous exploration under uncertainty via deep reinforcement learning on graphs
F Chen, JD Martin, Y Huang, J Wang, B Englot
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
652020
Fusing concurrent orthogonal wide-aperture sonar images for dense underwater 3d reconstruction
J McConnell, JD Martin, B Englot
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
252020
Stochastically dominant distributional reinforcement learning
J Martin, M Lyskawinski, X Li, B Englot
International conference on machine learning, 6745-6754, 2020
212020
Settling the reward hypothesis
M Bowling, JD Martin, D Abel, W Dabney
International Conference on Machine Learning, 3003-3020, 2023
192023
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
J Martin, J Wang, B Englot
Conference on Robot Learning (CoRL) 87, 2018
172018
On catastrophic interference in atari 2600 games
W Fedus, D Ghosh, JD Martin, MG Bellemare, Y Bengio, H Larochelle
arXiv preprint arXiv:2002.12499, 2020
152020
MOTO: Offline pre-training to online fine-tuning for model-based robot learning
R Rafailov, KB Hatch, V Kolev, JD Martin, M Phielipp, C Finn
Conference on Robot Learning, 3654-3671, 2023
52023
Variational filtering with copula models for SLAM
JD Martin, K Doherty, C Cyr, B Englot, J Leonard
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
52020
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
J Martin, B Englot
Conference on Robot Learning (CoRL) 78, 2017
52017
Learning to prioritize planning updates in model-based reinforcement learning
B Burega, JD Martin, M Bowling
Sixth Workshop on Meta-Learning at the Conference on Neural Information …, 2022
22022
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
X Lin, P Szenher, JD Martin, B Englot
2023 20th International Conference on Ubiquitous Robots (UR), 287-294, 2023
12023
Should models be accurate?
E Saleh, JD Martin, A Koop, A Pourzarabi, M Bowling
arXiv preprint arXiv:2205.10736, 2022
12022
Adapting the Function Approximation Architecture in Online Reinforcement Learning
JD Martin, J Modayil
arXiv preprint arXiv:2106.09776, 2021
12021
MOTO: Offline to Online Fine-tuning for Model-Based Reinforcement Learning
R Rafailov, KB Hatch, V Kolev, JD Martin, M Phielipp, C Finn
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
2023
Model-Based Adversarial Imitation Learning As Online Fine-Tuning
R Rafailov, V Kolev, KB Hatch, JD Martin, M Phielipp, J Wu, C Finn
Workshop on Reincarnating Reinforcement Learning at ICLR 2023, 2023
2023
Time to Take Embodiment Seriously
JD Martin
The Stochastic Road Network Environment for Robust Reinforcement Learning
JD Martin, P Szenher, X Lin, B Englot
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Articles 1–17