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cs.LG2026
Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
Guopeng Li, Matthijs T. J. Spaan, Julian F. P. Kooij
When safety is formulated as a limit of cumulative cost, safe reinforcement learning (RL) aims to learn policies that maximize return subject to the cost constraint in data collect…
cs.LG2023
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Jetze T. Schuurmans, Kim Batselier, Julian F. P. Kooij
Tensor decompositions have been successfully applied to compress neural networks. The compression algorithms using tensor decompositions commonly minimize the approximation error o…