Author

Julian G. Soltes

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Jul 2026

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning

This paper explores the efficacy of quasi-Monte Carlo (QMC) weight initialization for meta-reinforcement learning within modern benchmark environments and finds the orthogonal orientation was globally superior for an unbiased search.

Julian G. Soltes · arXiv.org · 0 citations