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cs.AI2024
Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases
George Stamatelis, Angelos-Nikolaos Kanatas, Ioannis Asprogerakas +1
Active hypothesis testing is a thoroughly studied problem that finds numerous applications in wireless communications and sensor networks. In this paper, we focus on one centralize…
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…