16 citations · 43 across the 7 of their papers we have counts for
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cs.LG2022★ 5 cited
A Review of Uncertainty for Deep Reinforcement Learning
Owen Lockwood, Mei Si
Uncertainty is ubiquitous in games, both in the agents playing games and often in the games themselves. Working with uncertainty is therefore an important component of successful d…
cs.LG2021
Optimizing Quantum Variational Circuits with Deep Reinforcement Learning
Owen Lockwood
Quantum Machine Learning (QML) is considered to be one of the most promising applications of near term quantum devices. However, the optimization of quantum machine learning models…
cs.LG2021
In Defense of the Paper
Owen Lockwood
The machine learning publication process is broken, of that there can be no doubt. Many of these flaws are attributed to the current workflow: LaTeX to PDF to reviewers to camera r…