2026 Mykel J. Kochenderfer: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	56	4031	3918	1921	1854	329	14218

Research.com Recognitions

2014 - Hellman Fellow

Overview

Mykel J. Kochenderfer is primarily affiliated with Stanford University in the United States. Their research spans multiple areas in computer science and engineering, with a focus on artificial intelligence and robotics. They have contributed extensively to the fields of reinforcement learning, autonomous vehicle technology, and formal methods in verification among others.

The main fields of study for Kochenderfer include:

Computer Science
Engineering

Their research further delves into specific subfields such as:

Artificial Intelligence
Computer Vision and Pattern Recognition
Automotive Engineering
Control and Systems Engineering
Ocean Engineering

Kochenderfer's work explores a range of main topics, including:

Reinforcement Learning in Robotics
Autonomous Vehicle Technology and Safety
Adversarial Robustness in Machine Learning
Robotic Path Planning Algorithms
Evacuation and Crowd Dynamics
Formal Methods in Verification
Explainable Artificial Intelligence (XAI)

They have published numerous papers in well-known academic venues. Some frequent publication venues are:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Journal of Artificial Intelligence Research
Journal of Aerospace Information Systems

Significant recent publications by Kochenderfer include:

"Personalizing exoskeleton assistance while walking in the real world," 2022, Nature
"Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning," 2022, IEEE Transactions on Intelligent Transportation Systems
"A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems," 2021, Journal of Artificial Intelligence Research
"Handling Missing Data with Graph Representation Learning," 2020, arXiv (Cornell University)
"Sensing leg movement enhances wearable monitoring of energy expenditure," 2021, Nature Communications

Frequent collaborators in Kochenderfer's research include:

Anthony Corso
Ransalu Senanayake
Joshua Ott
Sydney M. Katz
Stephen Boyd

In addition to articles, Kochenderfer has contributed to book publications, including a title published by Now Publishers:

"Algorithms for Verifying Deep Neural Networks," 2021

Kochenderfer received the Hellman Fellow award in 2014. Their body of work shows sustained focus on advancing knowledge and techniques across artificial intelligence and engineering disciplines with practical applications in robotics, autonomous systems, and safety validation.

Best Publications

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

Guy Katz;Clark W. Barrett;David L. Dill;Kyle Julian

1806
Citations
Cooperative Multi-agent Control Using Deep Reinforcement Learning

Jayesh K. Gupta;Maxim Egorov;Mykel J. Kochenderfer

944
Citations
Decision Making Under Uncertainty: Theory and Application

Mykel J. Kochenderfer;Christopher Amato;Girish Chowdhary;Jonathan P. How

570
Citations
The Marabou Framework for Verification and Analysis of Deep Neural Networks

Guy Katz;Derek A. Huang;Duligur Ibeling;Kyle Julian

495
Citations
Imitating driver behavior with generative adversarial networks

Alex Kuefler;Jeremy Morton;Tim Wheeler;Mykel Kochenderfer

455
Citations
Algorithms for Optimization

Mykel J. Kochenderfer

415
Citations
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior

Jeremy Morton;Tim A. Wheeler;Mykel J. Kochenderfer

293
Citations
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving

Carl-Johan Hoel;Katherine Driggs-Campbell;Krister Wolff;Leo Laine

287
Citations
Policy compression for aircraft collision avoidance systems

Kyle D. Julian;Jessica Lopez;Jeffrey S. Brush;Michael P. Owen

263
Citations
Generalizable intention prediction of human drivers at intersections

Derek J. Phillips;Tim A. Wheeler;Mykel J. Kochenderfer

195
Citations
Adaptive Stress Testing for Autonomous Vehicles

Mark Koren;Saud Alsaif;Ritchie Lee;Mykel J. Kochenderfer

189
Citations
Deep Neural Network Compression for Aircraft Collision Avoidance Systems

Kyle D. Julian;Mykel J. Kochenderfer;Michael P. Owen

180
Citations
Collision Avoidance for Unmanned Aircraft using Markov Decision Processes

Selim Temizer;Mykel J. Kochenderfer;Leslie Pack Kaelbling;Tomas Lozano-Perez

179
Citations
Airspace Encounter Models for Estimating Collision Risk

Mykel J. Kochenderfer;Matthew W. M. Edwards;Leo P. Espindle;James K. Kuchar

179
Citations
Decision Making under Uncertainty

Mykel J. Kochenderfer;Christopher Amato;Girish Chowdhary;Jonathan P. How

178
Citations
Online Algorithms for POMDPs with Continuous State, Action, and Observation Spaces.

Zachary N. Sunberg;Mykel J. Kochenderfer

176
Citations
Common sense data acquisition for indoor mobile robots

Rakesh Gupta;Mykel J. Kochenderfer

166
Citations
Decentralized control of partially observable Markov decision processes

Christopher Amato;Girish Chowdhary;Alborz Geramifard;N. Kemal Ure

157
Citations
Robust Airborne Collision Avoidance through Dynamic Programming

M J Kochenderfer;J P Chryssanthacopoulos

145
Citations
Algorithms for Verifying Deep Neural Networks

Changliu Liu;Tomer Arnon;Christopher Lazarus;Christopher A. Strong

141
Citations
HG-DAgger: Interactive Imitation Learning with Human Experts

Michael Kelly;Chelsea Sidrane;Katherine Driggs-Campbell;Mykel J. Kochenderfer

101
Citations
Learning Near Optimal Policies with Low Inherent Bellman Error

Andrea Zanette;Alessandro Lazaric;Mykel Kochenderfer;Emma Brunskill

74
Citations
Handling Missing Data with Graph Representation Learning

Jiaxuan You;Xiaobai Ma;Daisy Yi Ding;Mykel Kochenderfer

65
Citations
Deep Dynamical Modeling and Control of Unsteady Fluid Flows

Jeremy Morton;Freddie D. Witherden;Antony Jameson;Mykel J. Kochenderfer

48
Citations
A Survey of Algorithms for Black-Box Safety Validation.

Anthony Corso;Robert J. Moss;Mark Koren;Ritchie Lee

41
Citations

Frequent Co-Authors

Kikuo Fujimura Honda (United States)

Clark Barrett Stanford University

Stephen Boyd Stanford University

Dorsa Sadigh Stanford University

Marco Pavone Stanford University

Emma Brunskill Stanford University

David L. Dill Stanford University

Yevgeniy Vorobeychik Washington University in St. Louis

Alessandro Lazaric Facebook (United States)

Mac Schwager Stanford University

External Links

Personal website of Mykel J. Kochenderfer

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