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视觉与机器人

世界模型

面向环境建模、时序预测、仿真规划、具身智能和自动驾驶的世界模型方法与应用。

共收录 4358 信号源:cs.AI, cs.LG, cs.CV, cs.RO, cs.MA

1. 通用世界模型 4358 篇

1511.04906 2016-07-15 cs.LG cs.CV 50%

Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges

Jaime Zaratiegui, Ana Montoro, Federico Castanedo

专题命中 通用世界模型 :分类 cs.LG、cs.CV;predictive model(abstract);predictive models(abstract)

Comments 11 pages, 6 figures, accepted by IJCAI-16 Workshop on Deep Learning for Artificial Intelligence (DLAI)

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1601.04126 2016-01-19 stat.ML cs.AI cs.CY cs.LG 50%

Engineering Safety in Machine Learning

Kush R. Varshney

专题命中 通用世界模型 :分类 cs.AI、cs.LG;predictive model(abstract);predictive models(abstract)

Comments 2016 Information Theory and Applications Workshop, La Jolla, California

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1301.0600 2015-05-19 cs.LG cs.AI cs.IR 50%

An MDP-based Recommender System

Guy Shani, Ronen I. Brafman, David Heckerman

专题命中 通用世界模型 :分类 cs.AI、cs.LG;predictive model(abstract);predictive models(abstract)

Comments Appears in Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI2002)

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1201.0979 2015-03-19 cs.LO cs.AI cs.PL 50%

Sciduction: Combining Induction, Deduction, and Structure for Verification and Synthesis

Sanjit A. Seshia

专题命中 通用世界模型 :environment model(abstract);分类 cs.AI

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1502.00062 2015-02-03 stat.ML cs.AI cs.LG 50%

A New Intelligence Based Approach for Computer-Aided Diagnosis of Dengue Fever

Vadrevu Sree Hari Rao, Mallenahalli Naresh Kumar

专题命中 通用世界模型 :分类 cs.AI、cs.LG;predictive model(abstract);predictive models(abstract)

Comments 7 pages, 5 figures. arXiv admin note: substantial text overlap with arXiv:1501.07093

Journal ref Information Technology in Biomedicine, IEEE Transactions on , vol.16, no.1, pp.112,118, Jan. 2012

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1408.6127 2014-08-27 cs.AI 50%

A Complete framework for ambush avoidance in realistic environments

Emmanuel Boidot, Aude Marzuoli, Eric Feron

专题命中 通用世界模型 :environment model(abstract);分类 cs.AI

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1306.1553 2013-06-26 cs.AI 50%

Direct Uncertainty Estimation in Reinforcement Learning

Sergey Rodionov, Alexey Potapov, Yurii Vinogradov

专题命中 通用世界模型 :environment model(abstract);分类 cs.AI

Comments AGI-13 Workshop paper

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1111.3934 2012-05-15 cs.AI 50%

Model-based Utility Functions

Bill Hibbard

专题命中 通用世界模型 :environment model(abstract);分类 cs.AI

Comments 24 pages, extensive revisions

Journal ref Journal of Artificial General Intelligence 3(1) 1-24, 2012

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