9 citations · 9 across the 2 of their papers we have counts for
2 papers
cond-mat.quant-gas2023★ 9 cited
High-dimensional reinforcement learning for optimization and control of ultracold quantum gases
Nicholas Milson, Arina Tashchilina, Tian Ooi +3
Machine-learning techniques are emerging as a valuable tool in experimental physics, and among them, reinforcement learning offers the potential to control high-dimensional, multis…
cs.AI2020
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces
Zaheen Farraz Ahmad, Levi H. S. Lelis, Michael Bowling
Sample-based planning is a powerful family of algorithms for generating intelligent behavior from a model of the environment. Generating good candidate actions is critical to the s…