Quasi-Monte Carlo initialization improves meta-reinforcement learning training convergence in benchmark environments; QMC meta-priors outperform SB3 defaults on unseen continuous control tasks.
Read the original at arxiv.org→arXiv:2607.21637v1 Announce Type: new Abstract: This paper explores the efficacy of quasi-Monte Carlo (QMC) weight initialization for meta-reinforcement learning within modern benchmark environments. Various...
Original headline: "Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning"
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- Jul 27, 04:00 UTC arXiv cs.LG lead source Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning