John D. Martin

24 papers A* 2A 3Misc 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Improved Silent Data Error Detection Through Test Optimization Using Reinforcement Learning. IRPS Manu Shamsa, John D. Martin, Mariano Phielipp, Thiago Macieira, Loganathan Lingappan, Brad Kelly, David P. Lerner, Michael Tucknott, Ethan Hansen
2025	J	`jnl`	On the Interplay Between Sparsity and Training in Deep Reinforcement Learning. CoRR Fatima Davelouis, John D. Martin, Michael Bowling
2024	J	`jnl`	MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRR Rafael Rafailov, Kyle Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
2024	J	`jnl`	Meta-Gradient Search Control: A Method for Improving the Efficiency of Dyna-style Planning. CoRR Bradley Burega, John D. Martin, Luke Kapeluck, Michael Bowling
2023	Misc	`conf`	MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning. CoRL Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D. Martin, Mariano Phielipp, Chelsea Finn
2023	J	`jnl`	Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment. CoRR Xi Lin, Paul Szenher, John D. Martin, Brendan J. Englot
2023	A*	`conf`	Settling the Reward Hypothesis. ICML Michael Bowling, John D. Martin, David Abel, Will Dabney
2022	J	`jnl`	Settling the Reward Hypothesis. CoRR Michael Bowling, John D. Martin, David Abel, Will Dabney
2022	J	`jnl`	Should Models Be Accurate? CoRR Esra'a Saleh, John D. Martin, Anna Koop, Arash Pourzarabi, Michael Bowling
2021	J	`jnl`	Adapting the Function Approximation Architecture in Online Reinforcement Learning. CoRR John D. Martin, Joseph Modayil
2021	J	`jnl`	Modeling the onset of symptoms of COVID-19: Effects of SARS-CoV-2 variant. PLoS Comput. Biol. Joseph R. Larsen, Margaret R. Martin, John D. Martin, James B. Hicks, Peter Kuhn
2020	A	`conf`	Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs. IROS Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan J. Englot
2020	J	`jnl`	Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs. CoRR Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan J. Englot
2020	A	`conf`	Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction. IROS John McConnell, John D. Martin, Brendan J. Englot
2020	J	`jnl`	Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction. CoRR John McConnell, John D. Martin, Brendan J. Englot
2020	J	`jnl`	On Catastrophic Interference in Atari 2600 Games. CoRR William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle
2020	A*	`conf`	Stochastically Dominant Distributional Reinforcement Learning. ICML John D. Martin, Michal Lyskawinski, Xiaohu Li, Brendan J. Englot
2020	A	`conf`	Variational Filtering with Copula Models for SLAM. IROS John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard
2020	J	`jnl`	Variational Filtering with Copula Models for SLAM. CoRR John D. Martin, Kevin J. Doherty, Caralyn Cyr, Brendan J. Englot, John J. Leonard
2019	J	`jnl`	Stochastically Dominant Distributional Reinforcement Learning. CoRR John D. Martin, Michal Lyskawinski, Xiaohu Li, Brendan J. Englot
2018	J	`jnl`	Recursive Sparse Pseudo-input Gaussian Process SARSA. CoRR John D. Martin, Brendan J. Englot
2018	Misc	`conf`	Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation. CoRL John D. Martin, Jinkun Wang, Brendan J. Englot
2018	J	`jnl`	Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation. CoRR John D. Martin, Jinkun Wang, Brendan J. Englot
2017	Misc	`conf`	Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments. CoRL John D. Martin, Brendan J. Englot