Melrose Roderick

12 papers A* 2A 2Journal 7

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Ensuring the Safety of Reinforcement Learning Algorithms at Training and Deployment Melrose Roderick
2023	J	`jnl`	Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
2023	J	`jnl`	Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter
2021	A*	`conf`	Enforcing robust control guarantees within neural network policies. ICLR Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
2021	A	`conf`	Provably Safe PAC-MDP Exploration Using Analogies. AISTATS Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter
2020	J	`jnl`	Enforcing robust control guarantees within neural network policies. CoRR Priya L. Donti, Melrose Roderick, Mahyar Fazlyab, J. Zico Kolter
2020	J	`jnl`	Provably Safe PAC-MDP Exploration Using Analogies. CoRR Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter
2018	A	`conf`	Deep Abstract Q-Networks. AAMAS Melrose Roderick, Christopher Grimm, Stefanie Tellex
2017	J	`jnl`	Deep Abstract Q-Networks. CoRR Melrose Roderick, Christopher Grimm, Stefanie Tellex
2017	J	`jnl`	Implementing the Deep Q-Network. CoRR Melrose Roderick, James MacGlashan, Stefanie Tellex
2017	J	`jnl`	Mean Actor Critic. CoRR Kavosh Asadi, Cameron Allen, Melrose Roderick, Abdel-rahman Mohamed, George Dimitri Konidaris, Michael L. Littman
2016	A*	`conf`	Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. ICRA Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg