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Found 2 papers, 1 papers with code
Multi-Agent Image Classification via Reinforcement Learning
We investigate a classification problem using multiple mobile agents capable of collecting (partial) pose-dependent observations of an unknown environment.
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem.
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