Model-based方法通过建模dynamic model能获得较高的采样效率,但是这些算法往往依赖于准确的dynamic model,不准确的model往往会导致学习到糟糕的策略。 而本文提出的ME-MPO(Model-Based Meta-Policy-Optimization),不依赖于学习足够精确的dynamic model,而是学习一组model并将策略优化步骤建模为元学习问题来实现。 文章中表...
the C++ compiler team went to great lengths to make sure that all of the expertise gained from years of optimizing native code was applied to managed code optimization. C++ gives you the flexibility to do fine tuning such as high-performance marshaling that is not possible with ot...
However, due to challenges in learning dynamics models that sufficiently match the real-world dynamics, they struggle to achieve the same asymptotic performance as model-free methods. We propose Model-Based Meta-Policy-Optimization (MB-MPO), an approach that foregoes the strong reliance on accurate...
Optimization as a model for few-shot learning. (优化一个模型,用于少样本学习)---论文阅读笔记,程序员大本营,技术文章内容聚合第一站。
C++ 複製 public: static property Microsoft::VisualStudio::Imaging::Interop::ImageMoniker BDCModelTemplate { Microsoft::VisualStudio::Imaging::Interop::ImageMoniker get(); }; Property Value ImageMoniker Returns ImageMoniker. Applies to 產品版本 Visual Studio SDK 2015, 2017, 2019, 2022 ...
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. Megatron-DeepSpeed - DeepSpeed version of NVIDIA's Megatron-LM that adds additional support for several features such as MoE model training, Curriculum Learning, 3D...
2006. Metamodel-based simulation optimization. S. G. Henderson, B. L. Nelson, ... SM Ross - Symposium on Simulation for Architecture & Urban Design 被引量: 13发表: 2013年 City-scale traffic animation using statistical learning and metamodel-based optimization Rapid urbanization and increasing ...
"Enhancing Ecological Monitoring with Multi-Objective Optimization: A Novel Dataset and Methodology for Segmentation Algorithms." ArXiv (2024). [paper] [2024.08] SAM-FNet: Jia Wei, Yun Li, Meiyu Qiu, Hongyu Chen, Xiaomao Fan, Wenbin Lei. "SAM-FNet: SAM-Guided Fusion Network for Laryngo-Phar...
Dreamer系列里,model(RSSM)的学习和policy的学习是分开的,作者引入一个meta-weighter,使得model learning过程也考虑到对值函数的影响。 Methodology Dreamer学习model基于最大似然推导出的重建损失和KL正则项 Value-Aware Model Learning中提出了VAML损失来评估模型误差对值函数估计的影响 ...
Crossing weighted uncertainty scenarios assisted distribution-free metamodel-based robust simulation optimization In practice, computer simulations cannot be perfectly controlled because of the inherent uncertainty caused by variability in the environment (e.g., demand... A Parnianifard,AS Azfanizam,MKA ...