Gabriel Dulac-Arnold

Deep Q-learning From Demonstrations

Todd Hester, Matej Vecerík, Olivier Pietquin et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2018 · 809 citations · Full text

Computing, Autonomous Systems, Computer Science +15

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz et al. · Machine Learning · 2021 · 570 citations · Full text

Computing, Computer Science, Artificial Intelligence +11

Deep Q-learning from Demonstrations

Todd Hester, Matej Vecerík, Olivier Pietquin et al. · arXiv (Cornell University) · 2017 · 307 citations · Full text

Computing, Autonomous Systems, Computer Science +15

Reinforcement Learning in Large Discrete Action Spaces.

Gabriel Dulac-Arnold, Peter Sunehag, Ben Coppin · arXiv (Cornell University) · 2015 · 289 citations · Full text

Computing, Computer Science, Algorithms +12

Deep Reinforcement Learning in Large Discrete Action Spaces

Gabriel Dulac-Arnold, Hado van Hasselt, Peter Sunehag et al. · arXiv (Cornell University) · 2015 · 267 citations · Full text

Computing, Computer Science, Artificial Intelligence +15