How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics

被引:121
作者
Majumdar, Anirudha [1 ]
Pavone, Marco [2 ]
机构
[1] Princeton Univ, Dept Mech & Aerosp Engn, Princeton, NJ 08544 USA
[2] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA
来源
ROBOTICS RESEARCH | 2020年 / 10卷
关键词
D O I
10.1007/978-3-030-28619-4_10
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
引用
收藏
页码:75 / 84
页数:10
相关论文
共 15 条
[1]  
Amodei Dario, 2016, PREPRINT, DOI 10.48550/ARXIV.1606.06565
[2]  
[Anonymous], 2014, MOS-SIAM Series on Optimization
[3]   Coherent measures of risk [J].
Artzner, P ;
Delbaen, F ;
Eber, JM ;
Heath, D .
MATHEMATICAL FINANCE, 1999, 9 (03) :203-228
[4]  
B.C. on Banking Supervision, 2014, FUNDAMENTAL REV TRAD
[5]  
Follmer H., 2016, Stochastic Finance: An Introduction in Discrete Time
[6]  
García J, 2015, J MACH LEARN RES, V16, P1437
[7]  
Glover K., 1987, ANAL OPTIMIZATION SY
[8]   Variable risk control via stochastic optimization [J].
Kuindersma, Scott R. ;
Grupen, Roderic A. ;
Barto, Andrew G. .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2013, 32 (07) :806-825
[9]   PORTFOLIO SELECTION WITH MONOTONE MEAN-VARIANCE PREFERENCES [J].
Maccheroni, Fabio ;
Marinacci, Massimo ;
Rustichini, Aldo ;
Taboga, Marco .
MATHEMATICAL FINANCE, 2009, 19 (03) :487-521
[10]  
Majumdar A., 2017, ARXIV171011040