Double Sparse Deep Reinforcement Learning via Multilayer Sparse Coding and Nonconvex Regularized Pruning
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DOI: 10.1109/tcyb.2022.3157892
Abstract: Deep reinforcement learning (DRL), which highly depends on the data representation, has shown its potential in many practical decision-making problems. However, the process of acquiring representations in DRL is easily affected by interference from models,… read more here.
Keywords: double sparse; reinforcement learning; multilayer sparse; sparse coding ... See more keywords