Mykel J. Kochenderfer

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 410

Top Venues

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR (2024)
Bernard Lange, Masha Itkina, Jiachen Li, Mykel J. Kochenderfer
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving. CoRR (2024)
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd
Approximate Sequential Optimization for Informative Path Planning. CoRR (2024)
Harrison Delecki, Marcell Vazquez-Chanlatte, Esen Yel, Kyle Hollins Wray, Tomer Arnon, Stefan J. Witwicki, Mykel J. Kochenderfer
Entropy-regularized Point-based Value Iteration. CoRR (2024)
Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer
Graph Q-Learning for Combinatorial Optimization. CoRR (2024)
Harrison Delecki, Marc R. Schlichting, Mansur Arief, Anthony Corso, Marcell Vazquez-Chanlatte, Mykel J. Kochenderfer
Diffusion-Based Failure Sampling for Cyber-Physical Systems. CoRR (2024)
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
Disentangled Neural Relational Inference for Interpretable Motion Prediction. IEEE Robotics Autom. Lett. 9 (2) (2024)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. IV (2024)
Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer
Robotic Learning for Adaptive Informative Path Planning. CoRR (2024)
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel J. Kochenderfer, Chiho Choi, Behzad Dariush
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. WACV (2024)
Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
Active preference-based Gaussian process regression for reward learning and optimization. Int. J. Robotics Res. 43 (5) (2024)
Ali Baheri, Mykel J. Kochenderfer
The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR (2024)
Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. CoRR (2024)
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems. J. Aerosp. Inf. Syst. 21 (7) (2024)
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. ICRA (2024)
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. CoRR (2024)
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
Constrained Hierarchical Monte Carlo Belief-State Planning. ICRA (2024)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40 (2024)
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
Trajectory Optimization for Adaptive Informative Path Planning with Multimodal Sensing. CoRR (2024)
Alexandros E. Tzikas, Licio Romao, Mert Pilanci, Alessandro Abate, Mykel J. Kochenderfer
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers. CoRR (2024)
Amelia F. Hardy, Houjun Liu, Bernard Lange, Mykel J. Kochenderfer
ASTPrompter: Weakly Supervised Automated Language Model Red-Teaming to Identify Likely Toxic Prompts. CoRR (2024)
Alexandros E. Tzikas, Jinkyoo Park, Mykel J. Kochenderfer, Ross E. Allen
Distributed Online Planning for Min-Max Problems in Networked Markov Games. IEEE Robotics Autom. Lett. 9 (7) (2024)
Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager
Open Problems in Technical AI Governance. CoRR (2024)
Muhammad Fadhil Ginting, David D. Fan, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments. CoRR (2024)
Romeo Valentin, Sydney M. Katz, Joonghyun Lee, Don Walker, Matthew Sorgenfrei, Mykel J. Kochenderfer
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features. CoRR (2024)
Paula Stocco, Suhas Chundi, Arec L. Jamgochian, Mykel J. Kochenderfer
Addressing Myopic Constrained POMDP Planning with Recursive Dual Ascent. ICAPS (2024)
Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer
Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR (2024)
Robert J. Moss, Arec L. Jamgochian, Johannes Fischer, Anthony Corso, Mykel J. Kochenderfer
ConstrainedZero: Chance-Constrained POMDP Planning using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints. CoRR (2024)
Isaac R. Ward, Dylan M. Asmar, Mansur Arief, Jana Krystofova Mike, Mykel J. Kochenderfer
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. CBMS (2024)
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer
Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR (2024)
Muhammad Fadhil Ginting, Sung-Kyun Kim, David D. Fan, Matteo Palieri, Mykel J. Kochenderfer, Ali-Akbar Agha-Mohammadi
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks. CoRR (2024)
Marija Popovic, Joshua Ott, Julius Rückin, Mykel J. Kochenderfer
Learning-based methods for adaptive informative path planning. Robotics Auton. Syst. 179 (2024)
Oriana Peltzer, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer
Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions. CoRR (2023)
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
Model Predictive Optimized Path Integral Strategies. ICRA (2023)
Yizheng Wang, Markus Zechner, Gege Wen, Anthony Louis Corso, John Michael Mern, Mykel J. Kochenderfer, Jef Karel Caers
Optimizing Carbon Storage Operations for Long-Term Safety. CoRR (2023)
Arec L. Jamgochian, Etienne Bührle, Johannes Fischer, Mykel J. Kochenderfer
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. ICRA (2023)
Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. CoRR (2023)
Soyeon Jung, Mykel J. Kochenderfer
Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures. CoRR (2023)
Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Behzad Dariush, Chiho Choi, Mykel J. Kochenderfer
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning. CoRR (2023)
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois
Bayesian Safety Validation for Black-Box Systems. CoRR (2023)
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. CoRR (2023)
Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer
Global optimization of objective functions represented by ReLU networks. Mach. Learn. 112 (10) (2023)
Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer
Efficient Determination of Safety Requirements for Perception Systems. CoRR (2023)
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. ICRA (2023)
Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. NeurIPS (2023)
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. ICRA (2023)
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Joel Burdick
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. CoRR (2023)
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC (2023)
Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio, Dragos D. Margineantu, Cheng Soon Ong
Guest Editorial: Special issue on robust machine learning. Mach. Learn. 112 (8) (2023)
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
Deep Normalizing Flows for State Estimation. FUSION (2023)
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer
Model-based Validation as Probabilistic Inference. L4DC (2023)
Anil Yildiz, Esen Yel, Anthony L. Corso, Kyle Hollins Wray, Stefan J. Witwicki, Mykel J. Kochenderfer
Experience Filter: Using Past Experiences on Unseen Tasks or Environments. IV (2023)
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. CoRR (2023)
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer
Model-based Validation as Probabilistic Inference. CoRR (2023)
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer
SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. ITSC (2023)
Michael H. Lim, Tyler J. Becker, Mykel J. Kochenderfer, Claire J. Tomlin, Zachary N. Sunberg
Optimality Guarantees for Particle Belief Approximation of POMDPs. J. Artif. Intell. Res. 77 (2023)
Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall
Satisfiability.jl: Satisfiability Modulo Theories in Julia. CoRR (2023)
Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi
Fast and Scalable Signal Inference for Active Robotic Source Seeking. ICRA (2023)
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer
Constrained Hierarchical Monte Carlo Belief-State Planning. CoRR (2023)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR (2023)
Jiankai Sun, Yiqi Jiang, Jianing Qiu, Parth Nobel, Mykel J. Kochenderfer, Mac Schwager
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model. NeurIPS (2023)
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. ICAPS (2023)
Christopher E. Denniston, Oriana Peltzer, Joshua Ott, Sangwoo Moon, Sung-Kyun Kim, Gaurav S. Sukhatme, Mykel J. Kochenderfer, Mac Schwager, Ali-akbar Agha-mohammadi
Fast and Scalable Signal Inference for Active Robotic Source Seeking. CoRR (2023)
Kyle Brown, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR (2023)
Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR (2023)
Ali Baheri, Mykel J. Kochenderfer
Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR (2023)
Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. CoRR (2023)
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer
Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. CoRR (2023)
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC (2023)
Alexandros E. Tzikas, Derek Knowles, Grace Xingxin Gao, Mykel J. Kochenderfer
Multirobot Navigation Using Partially Observable Markov Decision Processes with Belief-Based Rewards. J. Aerosp. Inf. Syst. 20 (8) (2023)
Muhammad Fadhil Ginting, Sung-Kyun Kim, Oriana Peltzer, Joshua Ott, Sunggoo Jung, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi
Safe and Efficient Navigation in Extreme Environments using Semantic Belief Graphs. CoRR (2023)
Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer
Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning. IEEE Trans. Intell. Transp. Syst. 24 (3) (2023)
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer
Deep Normalizing Flows for State Estimation. CoRR (2023)
Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer
Generating probabilistic safety guarantees for neural network controllers. Mach. Learn. 112 (8) (2023)
Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer
A Holistic Assessment of the Reliability of Machine Learning Systems. CoRR (2023)
Christopher Lazarus, Mykel J. Kochenderfer
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks. CoRR (2022)
Victoria Magdalena Dax, Mykel J. Kochenderfer, Ransalu Senanayake, Umair Ibrahim
Infrastructure-Enabled Autonomy: An Attention Mechanism for Occlusion Handling. ICRA (2022)
Dylan M. Asmar, Mykel J. Kochenderfer
Collaborative Decision Making Using Action Suggestions. NeurIPS (2022)
Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI (2022)
Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber
Interaction Modeling with Multiplex Attention. CoRR (2022)
Anthony Corso, Sydney M. Katz, Craig Innes, Xin Du, Subramanian Ramamoorthy, Mykel J. Kochenderfer
Risk-Driven Design of Perception Systems. NeurIPS (2022)
Zachary Sunberg, Mykel J. Kochenderfer
Improving Automated Driving Through POMDP Planning With Human Internal States. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer
Model Predictive Optimized Path Integral Strategies. CoRR (2022)
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. CoRR (2022)
Raunak P. Bhattacharyya, Soyeon Jung, Liam A. Kruse, Ransalu Senanayake, Mykel J. Kochenderfer
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling Through Particle Filtering. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer
Reluplex: a calculus for reasoning about deep neural networks. Formal Methods Syst. Des. 60 (1) (2022)
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. CoRR (2022)
Nicholas Rober, Sydney M. Katz, Chelsea Sidrane, Esen Yel, Michael Everett, Mykel J. Kochenderfer, Jonathan P. How
Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. CoRR (2022)
Christopher A. Strong, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer
ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs. NFM (2022)
Jennifer She, Jayesh K. Gupta, Mykel J. Kochenderfer
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning. AAMAS (2022)
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer
Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. CoRR (2022)
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim, Ransalu Senanayake, Joshua Ott, Harrison Delecki, Mamoru Sobue, Mykel J. Kochenderfer, Mac Schwager, Joel Burdick, Ali-akbar Agha-mohammadi
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget. IROS (2022)
Arec L. Jamgochian, Kunal Menda, Mykel J. Kochenderfer
Multi-Vehicle Control in Roundabouts using Decentralized Game-Theoretic Planning. CoRR (2022)
Amanda Bouman, Joshua Ott, Sung-Kyun Kim, Kenny Chen, Mykel J. Kochenderfer, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Joel Burdick
Adaptive Coverage Path Planning for Efficient Exploration of Unknown Environments. IROS (2022)
Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer
A Gray Box Model for Characterizing Driver Behavior. SafeAI@AAAI (2022)
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments. IROS (2022)
Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. ICRA (2022)
John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer
Interpretable Local Tree Surrogate Policies. SafeAI@AAAI (2022)
Christopher Lazarus, Mykel J. Kochenderfer
Deep Binary Reinforcement Learning for Scalable Verification. CoRR (2022)

Mykel J. Kochenderfer.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mykel J. Kochenderfer