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Uncertainty Maximization in Partially Observable Domains: A Cognitive Perspective
Faced with an ever-increasing complexity of their domains of application, artificial learning agents are now able to scale up in their ability to process an overwhelming amount of information coming from their interaction with an environment.
Augmented Replay Memory in Reinforcement Learning With Continuous Control
Online reinforcement learning agents are currently able to process an increasing amount of data by converting it into a higher order value functions.
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