64 citations · 139 across the 9 of their papers we have counts for
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quant-ph2019★ 64 cited
A neural network oracle for quantum nonlocality problems in networks
Tamás Kriváchy, Yu Cai, Daniel Cavalcanti +3
Characterizing quantum nonlocality in networks is a challenging, but important problem. Using quantum sources one can achieve distributions which are unattainable classically. A ke…
cs.LG2019★ 10 cited
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Arash Tavakoli
In an effort to better understand the different ways in which the discount factor affects the optimization process in reinforcement learning, we designed a set of experiments to st…