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cs.LG2025
Meta-autoencoders: An approach to discovery and representation of relationships between dynamically evolving classes
Assaf Marron, Smadar Szekely, Irun Cohen +1
An autoencoder (AE) is a neural network that, using self-supervised training, learns a succinct parameterized representation, and a corresponding encoding and decoding process, for…
cs.LG2022
Scenario-Assisted Deep Reinforcement Learning
Raz Yerushalmi, Guy Amir, Achiya Elyasaf +3
Deep reinforcement learning has proven remarkably useful in training agents from unstructured data. However, the opacity of the produced agents makes it difficult to ensure that th…