Mykel J. Kochenderfer
Mykel J. Kochenderfer
Associate Professor, Stanford University
Verified email at - Homepage
Cited by
Cited by
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
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
Decision making under uncertainty: theory and application
MJ Kochenderfer
MIT Press, 2015
Imitating driver behavior with generative adversarial networks
A Kuefler, J Morton, T Wheeler, M Kochenderfer
2017 IEEE Intelligent Vehicles Symposium (IV), 204-211, 2017
Algorithms for Optimization
MJ Kochenderfer, TA Wheeler
MIT Press, 2019
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
Algorithms for verifying deep neural networks
C Liu, T Arnon, C Lazarus, C Barrett, MJ Kochenderfer
arXiv preprint arXiv:1903.06758, 2019
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
Next-generation airborne collision avoidance system
MJ Kochenderfer, JE Holland, JP Chryssanthacopoulos
Massachusetts Institute of Technology-Lincoln Laboratory Lexington United States, 2012
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
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
Common sense data acquisition for indoor mobile robots
R Gupta, MJ Kochenderfer
AAAI, 605-610, 2004
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
Generalizable intention prediction of human drivers at intersections
DJ Phillips, TA Wheeler, MJ Kochenderfer
2017 IEEE intelligent vehicles symposium (IV), 1665-1670, 2017
Robust airborne collision avoidance through dynamic programming
MJ Kochenderfer, JP Chryssanthacopoulos
Massachusetts Institute of Technology, Lincoln Laboratory, Project Report, 2011
Online algorithms for POMDPs with continuous state, action, and observation spaces
ZN Sunberg, MJ Kochenderfer
Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018
Deep neural network compression for aircraft collision avoidance systems
KD Julian, MJ Kochenderfer, MP Owen
Journal of Guidance, Control, and Dynamics 42 (3), 598-608, 2019
Learning near optimal policies with low inherent bellman error
A Zanette, A Lazaric, M Kochenderfer, E Brunskill
International Conference on Machine Learning, 10978-10989, 2020
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
Adaptive stress testing for autonomous vehicles
M Koren, S Alsaif, R Lee, MJ Kochenderfer
2018 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2018
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