7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 3 cited
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents
Andreas Merentitis, Kashif Rasul, Roland Vollgraf +2
Deep Reinforcement Learning has been shown to be very successful in complex games, e.g. Atari or Go. These games have clearly defined rules, and hence allow simulation. In many pra…
stat.ML2018★ 7 cited
Stochastic Maximum Likelihood Optimization via Hypernetworks
Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis +1
This work explores maximum likelihood optimization of neural networks through hypernetworks. A hypernetwork initializes the weights of another network, which in turn can be employe…