Mykel J. Kochenderfer

Mykel J. Kochenderfer

Stanford University

H-index: 58

North America-United States

About Mykel J. Kochenderfer

Mykel J. Kochenderfer, With an exceptional h-index of 58 and a recent h-index of 55 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Artificial Intelligence, Machine Learning, Decision Theory, Safety.

His recent articles reflect a diverse array of research interests and contributions to the field:

Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments

Systems and methods for path planning with latent state inference and graphical relationships

Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing

Entropy-regularized Point-based Value Iteration

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers

Approximate Sequential Optimization for Informative Path Planning

Active preference-based Gaussian process regression for reward learning and optimization

Mykel J. Kochenderfer Information

University

Position

Associate Professor

Citations(all)

16558

Citations(since 2020)

14055

Cited By

6746

hIndex(all)

58

hIndex(since 2020)

55

i10Index(all)

216

i10Index(since 2020)

193

Email

University Profile Page

Google Scholar

Mykel J. Kochenderfer Skills & Research Interests

Artificial Intelligence

Machine Learning

Decision Theory

Safety

Top articles of Mykel J. Kochenderfer

Title

Journal

Author(s)

Publication Date

Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments

arXiv preprint arXiv:2401.17191

Muhammad Fadhil Ginting

David D Fan

Sung-Kyun Kim

Mykel J Kochenderfer

Ali-akbar Agha-mohammadi

2024/1/30

Systems and methods for path planning with latent state inference and graphical relationships

2024/2/22

Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing

arXiv preprint arXiv:2404.18374

Joshua Ott

Edward Balaban

Mykel Kochenderfer

2024/4/29

Entropy-regularized Point-based Value Iteration

arXiv preprint arXiv:2402.09388

Harrison Delecki

Marcell Vazquez-Chanlatte

Esen Yel

Kyle Wray

Tomer Arnon

...

2024/2/14

Artificial Intelligence-Centric Low-Enthalpy Geothermal Field Development Planning

Energies

Torsten Clemens

Maria-Magdalena Chiotoroiu

Anthony Corso

Markus Zechner

Mykel J Kochenderfer

2024/4/16

Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers

arXiv preprint arXiv:2401.15838

Alexandros E Tzikas

Licio Romao

Mert Pilanci

Alessandro Abate

Mykel J Kochenderfer

2024/1/29

Approximate Sequential Optimization for Informative Path Planning

arXiv preprint arXiv:2402.08841

Joshua Ott

Mykel J Kochenderfer

Stephen Boyd

2024/2/13

Active preference-based Gaussian process regression for reward learning and optimization

The International Journal of Robotics Research

Erdem Bıyık

Nicolas Huynh

Mykel J Kochenderfer

Dorsa Sadigh

2024/4

Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation

arXiv preprint arXiv:2401.12275

Jiachen Li

Chuanbo Hua

Hengbo Ma

Jinkyoo Park

Victoria Dax

...

2024/1/22

Conformal prediction for uncertainty-aware planning with diffusion dynamics model

Advances in Neural Information Processing Systems

Jiankai Sun

Yiqi Jiang

Jianing Qiu

Parth Nobel

Mykel J Kochenderfer

...

2024/2/13

Sequentially optimized data acquisition for a geothermal reservoir

Geothermics

Anthony Corso

Maria Chiotoroiu

Torsten Clemens

Markus Zechner

Mykel J Kochenderfer

2024/6/1

Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent

arXiv preprint arXiv:2403.17358

Paula Stocco

Suhas Chundi

Arec Jamgochian

Mykel J Kochenderfer

2024/3/26

Graph Q-Learning for Combinatorial Optimization

arXiv preprint arXiv:2401.05610

Victoria M Dax

Jiachen Li

Kevin Leahy

Mykel J Kochenderfer

2024/1/11

AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator

Advances in Neural Information Processing Systems

Elysia Smyers

Sydney Katz

Anthony Corso

Mykel J Kochenderfer

2024/2/13

Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning

Enna Sachdeva

Nakul Agarwal

Suhas Chundi

Sean Roelofs

Jiachen Li

...

2024

Transfer Learning with Experience Filter for Vehicle Operation

2024/2/29

ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints

arXiv preprint arXiv:2405.00644

Robert J Moss

Arec Jamgochian

Johannes Fischer

Anthony Corso

Mykel J Kochenderfer

2024/5/1

Inferring traffic models in terminal airspace from flight tracks and procedures

arXiv preprint arXiv:2303.09981

Soyeon Jung

Mykel J Kochenderfer

2023/3/17

Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving

arXiv preprint arXiv:2310.01723

Maneekwan Toyungyernsub

Esen Yel

Jiachen Li

Mykel J Kochenderfer

2023/10/3

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

See List of Professors in Mykel J. Kochenderfer University(Stanford University)

Co-Authors

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