Browsing by Subject "Q-learning"
Now showing items 1-2 of 2
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Compressive measurement design for detection and estimation of sparse signals
We study the problem of designing compressive measurement matrices for two sets of problems. In the first set, we consider the problem of adaptively designing compressive measurement matrices for estimating time-varying ... -
Wisdom of the crowd, The: reliable deep reinforcement learning through ensembles of Q-functions
Reinforcement learning agents learn by exploring the environment and then exploiting what they have learned. This frees the human trainers from having to know the preferred action or intrinsic value of each encountered ...
