18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.AI2023
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning
George Stamatelis, Nicholas Kalouptsidis
A combination of deep reinforcement learning and supervised learning is proposed for the problem of active sequential hypothesis testing in completely unknown environments. We make…
cs.IT2014★ 18 cited
Greedy Sparsity-Promoting Algorithms for Distributed Learning
Symeon Chouvardas, Gerasimos Mileounis, Nicholas Kalouptsidis +1
This paper focuses on the development of novel greedy techniques for distributed learning under sparsity constraints. Greedy techniques have widely been used in centralized systems…