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DecentralizedCooperativeStochasticBandits
In the most basic setting of this problem, an agent has to pull one among a finite set of arms (or actions), and she receives a reward that depends on the chosen action.
DMAP:a Distributed Morphological Attention Policy for Learningto Locomotewitha Changing Body
Basedontheseprinciples, weproposethe Distributed Morphological Attention Policy (DMAP) architecture (Figure 1). Weproposea Distributed Morphological Policy (DMAP) toaddressthisproblem (Figure 1).
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators Taesik Gong
Tiny machine learning (TinyML) aims to run ML models on small devices and is increasingly favored for its enhanced privacy, reduced latency, and low cost.
IsOut-of-DistributionDetectionLearnable?
First, we find a necessary condition for the learnability of OOD detection.
