Mykel J. Kochenderfer
Mykel J. Kochenderfer
Associate Professor, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Reluplex: An efficient SMT solver for verifying deep neural networks
G Katz, C Barrett, DL Dill, K Julian, MJ Kochenderfer
International Conference on Computer Aided Verification, 97-117, 2017
7412017
Decision making under uncertainty: theory and application
MJ Kochenderfer
MIT Press, 2015
3762015
Cooperative multi-agent control using deep reinforcement learning
JK Gupta, M Egorov, M Kochenderfer
International Conference on Autonomous Agents and Multiagent Systems, 66-83, 2017
3162017
Imitating driver behavior with generative adversarial networks
A Kuefler, J Morton, T Wheeler, M Kochenderfer
2017 IEEE Intelligent Vehicles Symposium (IV), 204-211, 2017
1752017
Next-generation airborne collision avoidance system
MJ Kochenderfer, JE Holland, JP Chryssanthacopoulos
Massachusetts Institute of Technology-Lincoln Laboratory Lexington United States, 2012
1592012
Common sense data acquisition for indoor mobile robots
R Gupta, MJ Kochenderfer
AAAI, 605-610, 2004
1472004
Analysis of recurrent neural networks for probabilistic modeling of driver behavior
J Morton, TA Wheeler, MJ Kochenderfer
IEEE Transactions on Intelligent Transportation Systems 18 (5), 1289-1298, 2016
1322016
Airspace encounter models for estimating collision risk
MJ Kochenderfer, MWM Edwards, LP Espindle, JK Kuchar, JD Griffith
Journal of Guidance, Control, and Dynamics 33 (2), 487-499, 2010
1322010
Collision avoidance for unmanned aircraft using Markov decision processes
S Temizer, M Kochenderfer, L Kaelbling, T Lozano-Pérez, J Kuchar
AIAA guidance, navigation, and control conference, 8040, 2010
1302010
Policy compression for aircraft collision avoidance systems
KD Julian, J Lopez, JS Brush, MP Owen, MJ Kochenderfer
2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), 1-10, 2016
1132016
Robust airborne collision avoidance through dynamic programming
MJ Kochenderfer, JP Chryssanthacopoulos
Massachusetts Institute of Technology, Lincoln Laboratory, Project Report, 2011
1082011
Decentralized control of partially observable Markov decision processes
C Amato, G Chowdhary, A Geramifard, NK Üre, MJ Kochenderfer
52nd IEEE Conference on Decision and Control, 2398-2405, 2013
962013
Unmanned aircraft collision avoidance using continuous-state POMDPs
H Bai, D Hsu, MJ Kochenderfer, WS Lee
Robotics: Science and Systems VII 1, 1-8, 2012
922012
The marabou framework for verification and analysis of deep neural networks
G Katz, DA Huang, D Ibeling, K Julian, C Lazarus, R Lim, P Shah, ...
International Conference on Computer Aided Verification, 443-452, 2019
802019
Towards proving the adversarial robustness of deep neural networks
G Katz, C Barrett, DL Dill, K Julian, MJ Kochenderfer
arXiv preprint arXiv:1709.02802, 2017
762017
Algorithms for Optimization
MJ Kochenderfer, TA Wheeler
MIT Press, 2019
712019
Generalizable intention prediction of human drivers at intersections
DJ Phillips, TA Wheeler, MJ Kochenderfer
2017 IEEE Intelligent Vehicles Symposium (IV), 1665-1670, 2017
662017
Algorithms for verifying deep neural networks
C Liu, T Arnon, C Lazarus, C Barrett, MJ Kochenderfer
arXiv preprint arXiv:1903.06758, 2019
572019
Accounting for state uncertainty in collision avoidance
JP Chryssanthacopoulos, MJ Kochenderfer
Journal of Guidance, Control, and Dynamics 34 (4), 951-960, 2011
572011
POMDPs. jl: A framework for sequential decision making under uncertainty
M Egorov, ZN Sunberg, E Balaban, TA Wheeler, JK Gupta, ...
The Journal of Machine Learning Research 18 (1), 831-835, 2017
542017
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