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 · 788 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +18

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

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz et al. · Machine Learning · 2021 · 526 citations · Full text

Artificial Intelligence, Real-world Reinforcement Learning, Engineering +4

Reinforcement Learning in Large Discrete Action Spaces.

Gabriel Dulac-Arnold, Peter Sunehag, Ben Coppin · arXiv (Cornell University) · 2015 · 287 citations · Full text

Natural Language Processing, Artificial Intelligence, Large Ai Model +15

Deep Reinforcement Learning in Large Discrete Action Spaces

Gabriel Dulac-Arnold, Hado van Hasselt, Peter Sunehag et al. · arXiv (Cornell University) · 2015 · 265 citations · Full text

Artificial Intelligence, Natural Language Processing, Large Ai Model +15

Challenges of Real-World Reinforcement Learning

Gabriel Dulac-Arnold, Daniel J. Mankowitz, Todd Hester · arXiv (Cornell University) · 2019 · 252 citations · Full text

Artificial Intelligence, Real-world Reinforcement Learning, Engineering +12