Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDMykel J. Kochenderfer
Mykel John Kochenderfer
Person information
- affiliation: Stanford University
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j24]Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021)- [j23]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery using Transit Networks. J. Artif. Intell. Res. 70: 757-788 (2021) - [c108]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical planning for resource allocation in emergency response systems. ICCPS 2021: 155-166 - [i123]Shushman Choudhury, Jayesh K. Gupta, Peter Morales, Mykel J. Kochenderfer:
Scalable Anytime Planning for Multi-Agent MDPs. CoRR abs/2101.04788 (2021) - [i122]Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer:
Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning. CoRR abs/2102.12550 (2021) - [i121]Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer:
Generating Probabilistic Safety Guarantees for Neural Network Controllers. CoRR abs/2103.01203 (2021) - [i120]Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer:
Preference-based Learning of Reward Function Features. CoRR abs/2103.02727 (2021) - 2020
- [j22]Bohan Wu, Jayesh K. Gupta
, Mykel J. Kochenderfer:
Model primitives for hierarchical lifelong reinforcement learning. Auton. Agents Multi Agent Syst. 34(1): 28 (2020) - [j21]Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer:
Estimation and control using sampling-based Bayesian reinforcement learning. IET Cyper-Phys. Syst.: Theory & Appl. 5(1): 127-135 (2020) - [j20]Ritchie Lee, Ole J. Mengshoel, Anshu Saksena, Ryan W. Gardner, Daniel Genin, Joshua Silbermann, Michael P. Owen, Mykel J. Kochenderfer:
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning. J. Artif. Intell. Res. 69: 1165-1201 (2020) - [j19]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. IEEE Trans. Intell. Veh. 5(2): 294-305 (2020) - [c107]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. AAAI 2020: 10061-10068 - [c106]Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer:
Adaptive Informative Path Planning with Multimodal Sensing. ICAPS 2020: 57-65 - [c105]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. ACC 2020: 301-306 - [c104]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. ACC 2020: 3971-3976 - [c103]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. AAMAS 2020: 1046-1054 - [c102]Nate Gruver, Jiaming Song, Mykel J. Kochenderfer, Stefano Ermon:
Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. AAMAS 2020: 1855-1857 - [c101]Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer:
Normalizing Flow Model for Policy Representation in Continuous Action Multi-agent Systems. AAMAS 2020: 1916-1918 - [c100]Xiaobai Ma, Jayesh K. Gupta, Mykel J. Kochenderfer:
Normalizing Flow Policies for Multi-agent Systems. GameSec 2020: 277-296 - [c99]Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester:
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. ICML 2020: 6830-6840 - [c98]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. ICML 2020: 10978-10989 - [c97]Jean-Raymond Betterton, Daniel Ratner, Samuel Webb, Mykel J. Kochenderfer:
Reinforcement Learning for Adaptive Illumination with X-rays. ICRA 2020: 328-334 - [c96]Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer:
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. ICRA 2020: 441-447 - [c95]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. ICRA 2020: 4543-4550 - [c94]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. ITSC 2020: 1-6 - [c93]Anthony Corso, Mykel J. Kochenderfer:
Interpretable Safety Validation for Autonomous Vehicles. ITSC 2020: 1-6 - [c92]Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer:
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. ITSC 2020: 1-6 - [c91]Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. ITSC 2020: 1-7 - [c90]Mark Koren, Mykel J. Kochenderfer:
Adaptive Stress Testing without Domain Heuristics using Go-Explore. ITSC 2020: 1-6 - [c89]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. ITSC 2020: 1-6 - [c88]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
Structured Mechanical Models for Robot Learning and Control. L4DC 2020: 328-337 - [c87]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. NeurIPS 2020 - [c86]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. NeurIPS 2020 - [c85]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. NeurIPS 2020 - [c84]Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik:
Robust Spatial-Temporal Incident Prediction. UAI 2020: 360-369 - [i119]Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer:
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes. CoRR abs/2001.03809 (2020) - [i118]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey:
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. CoRR abs/2001.07362 (2020) - [i117]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Learning Near Optimal Policies with Low Inherent Bellman Error. CoRR abs/2003.00153 (2020) - [i116]Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer:
Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing. CoRR abs/2003.02381 (2020) - [i115]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Exchangeable Input Representations for Reinforcement Learning. CoRR abs/2003.09022 (2020) - [i114]Shushman Choudhury, Nate Gruver, Mykel J. Kochenderfer:
Adaptive Informative Path Planning with Multimodal Sensing. CoRR abs/2003.09746 (2020) - [i113]Mark Koren, Mykel J. Kochenderfer:
Adaptive Stress Testing without Domain Heuristics using Go-Explore. CoRR abs/2004.04292 (2020) - [i112]Mark Koren, Anthony Corso, Mykel J. Kochenderfer:
The Adaptive Stress Testing Formulation. CoRR abs/2004.04293 (2020) - [i111]Anthony Corso, Ritchie Lee, Mykel J. Kochenderfer:
Scalable Autonomous Vehicle Safety Validation through Dynamic Programming and Scene Decomposition. CoRR abs/2004.06801 (2020) - [i110]Anthony Corso, Mykel J. Kochenderfer:
Interpretable Safety Validation for Autonomous Vehicles. CoRR abs/2004.06805 (2020) - [i109]Oriana Peltzer, Kyle Brown, Mac Schwager, Mykel J. Kochenderfer, Martin A. Sehr:
STT-CBS: A Conflict-Based Search Algorithm for Multi-Agent Path Finding with Stochastic Travel Times. CoRR abs/2004.08025 (2020) - [i108]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
Structured Mechanical Models for Robot Learning and Control. CoRR abs/2004.10301 (2020) - [i107]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR abs/2005.02575 (2020) - [i106]Raunak P. Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel J. Kochenderfer:
Online Parameter Estimation for Human Driver Behavior Prediction. CoRR abs/2005.02597 (2020) - [i105]Anthony Corso, Robert J. Moss, Mark Koren, Ritchie Lee, Mykel J. Kochenderfer:
A Survey of Algorithms for Black-Box Safety Validation. CoRR abs/2005.02979 (2020) - [i104]Maxime Bouton, Alireza Nakhaei, David Isele, Kikuo Fujimura, Mykel J. Kochenderfer:
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic. CoRR abs/2005.11895 (2020) - [i103]Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer, Dorsa Sadigh, Jeannette Bohg:
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints. CoRR abs/2005.13109 (2020) - [i102]Zachary Sunberg, Mykel J. Kochenderfer:
Improving Automated Driving through Planning with Human Internal States. CoRR abs/2005.14549 (2020) - [i101]Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade, Yevgeniy Vorobeychik, Mykel J. Kochenderfer, Abhishek Dubey:
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models. CoRR abs/2006.04200 (2020) - [i100]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. CoRR abs/2006.06412 (2020) - [i99]Kyle Brown, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Modeling and Prediction of Human Driver Behavior: A Survey. CoRR abs/2006.08832 (2020) - [i98]Kyle Brown, Oriana Peltzer, Martin A. Sehr, Mac Schwager, Mykel J. Kochenderfer:
Optimal Sequential Task Assignment and Path Finding for Multi-Agent Robotic Assembly Planning. CoRR abs/2006.08845 (2020) - [i97]John Mern, Peter Morales, Mykel J. Kochenderfer:
Towards Recurrent Autoregressive Flow Models. CoRR abs/2006.10096 (2020) - [i96]Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer:
Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning. CoRR abs/2006.11438 (2020) - [i95]Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta, Ilan Kroo, Mykel J. Kochenderfer, Zachary Manchester:
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM. CoRR abs/2006.11615 (2020) - [i94]Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang, Mykel J. Kochenderfer, Mac Schwager:
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. CoRR abs/2007.00161 (2020) - [i93]Sheng Li, Maxim Egorov, Mykel J. Kochenderfer:
Analysis of Fleet Management and Network Design for On-Demand Urban Air Mobility Operations. CoRR abs/2008.05535 (2020) - [i92]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration. CoRR abs/2008.07737 (2020) - [i91]Duncan Eddy, Mykel J. Kochenderfer:
A Maximum Independent Set Method for Scheduling Earth Observing Satellite Constellations. CoRR abs/2008.08446 (2020) - [i90]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. CoRR abs/2010.03258 (2020) - [i89]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. CoRR abs/2010.03597 (2020) - [i88]John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR abs/2010.03599 (2020) - [i87]Ayan Mukhopadhyay, Geoffrey Pettet, Mykel J. Kochenderfer, Abhishek Dubey:
Designing Emergency Response Pipelines : Lessons and Challenges. CoRR abs/2010.07504 (2020) - [i86]Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross D. Shachter, Mykel J. Kochenderfer:
Uncertainty Aware Wildfire Management. CoRR abs/2010.07915 (2020) - [i85]Masha Itkina, Boris Ivanovic, Ransalu Senanayake, Mykel J. Kochenderfer, Marco Pavone:
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. CoRR abs/2010.09164 (2020) - [i84]Bernard Lange, Masha Itkina, Mykel J. Kochenderfer:
Attention Augmented ConvLSTM forEnvironment Prediction. CoRR abs/2010.09662 (2020) - [i83]Christopher Lazarus, James G. Lopez, Mykel J. Kochenderfer:
Runtime Safety Assurance Using Reinforcement Learning. CoRR abs/2010.10618 (2020) - [i82]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. CoRR abs/2010.16418 (2020) - [i81]Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan I. Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena:
Out-of-Distribution Detection for Automotive Perception. CoRR abs/2011.01413 (2020) - [i80]Robert J. Moss, Ritchie Lee, Nicholas Visser, Joachim Hochwarth, James G. Lopez, Mykel J. Kochenderfer:
Adaptive Stress Testing of Trajectory Predictions in Flight Management Systems. CoRR abs/2011.02559 (2020) - [i79]Xiaobai Ma, Jiachen Li, Mykel J. Kochenderfer, David Isele, Kikuo Fujimura:
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships. CoRR abs/2011.04251 (2020) - [i78]Maneekwan Toyungyernsub, Masha Itkina, Ransalu Senanayake, Mykel J. Kochenderfer:
Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments. CoRR abs/2011.09045 (2020) - [i77]Kyle Hatch, John Mern, Mykel J. Kochenderfer:
Obstacle Avoidance Using a Monocular Camera. CoRR abs/2012.01608 (2020) - [i76]Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. CoRR abs/2012.05336 (2020) - [i75]Geoffrey Pettet, Ayan Mukhopadhyay, Mykel J. Kochenderfer, Abhishek Dubey:
Hierarchical Planning for Resource Allocation in Emergency Response Systems. CoRR abs/2012.13300 (2020)
2010 – 2019
- 2019
- [j18]Maxime Bouton, Kyle D. Julian, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Decomposition methods with deep corrections for reinforcement learning. Auton. Agents Multi Agent Syst. 33(3): 330-352 (2019) - [j17]Louis Dressel, Mykel J. Kochenderfer:
Tutorial on the generation of ergodic trajectories with projection-based gradient descent. IET Cyper-Phys. Syst.: Theory & Appl. 4(2): 89-100 (2019) - [j16]Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer:
Unifying System Health Management and Automated Decision Making. J. Artif. Intell. Res. 65: 487-518 (2019) - [j15]Kevin T. Carlberg, Antony Jameson, Mykel J. Kochenderfer, Jeremy Morton, Liqian Peng, Freddie D. Witherden:
Recovering missing CFD data for high-order discretizations using deep neural networks and dynamics learning. J. Comput. Phys. 395: 105-124 (2019) - [j14]Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert:
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. 20(4): 1259-1268 (2019) - [j13]Shane T. Barratt, Mykel J. Kochenderfer, Stephen P. Boyd:
Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data. IEEE Trans. Intell. Transp. Syst. 20(9): 3536-3545 (2019) - [j12]Sarah M. Thornton, Benjamin Limonchik, Francis E. Lewis, Mykel J. Kochenderfer, J. Christian Gerdes:
Toward Closing the Loop on Human Values. IEEE Trans. Intell. Veh. 4(3): 437-446 (2019) - [c83]Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. AAMAS 2019: 34-42 - [c82]John Mern, Dorsa Sadigh, Mykel J. Kochenderfer:
Object Exchangability in Reinforcement Learning. AAMAS 2019: 2126-2128 - [c81]Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zeljic, David L. Dill, Mykel J. Kochenderfer, Clark W. Barrett:
The Marabou Framework for Verification and Analysis of Deep Neural Networks. CAV (1) 2019: 443-452 - [c80]Arec L. Jamgochian, Mykel J. Kochenderfer:
Stochastic Model Predictive Control for Scheduling Charging of Electric Vehicle Fleets with Market Power. ICCVE 2019: 1-6 - [c79]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [c78]Louis Dressel, Mykel J. Kochenderfer:
Hunting Drones with Other Drones: Tracking a Moving Radio Target. ICRA 2019: 1905-1912 - [c77]Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
HG-DAgger: Interactive Imitation Learning with Human Experts. ICRA 2019: 8077-8083 - [c76]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. IJCAI 2019: 3116-3122 - [c75]Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. IJCAI 2019: 3173-3179 - [c74]Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. IROS 2019: 5041-5048 - [c73]Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. ITSC 2019: 163-168 - [c72]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. ITSC 2019: 2052-2059 - [c71]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic. ITSC 2019: 3441-3447 - [c70]Mark Koren, Mykel J. Kochenderfer:
Efficient Autonomy Validation in Simulation with Adaptive Stress Testing. ITSC 2019: 4178-4183 - [c69]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. IV 2019: 1054-1060 - [c68]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. IV 2019: 1469-1476 - [c67]Tim Allan Wheeler, Mykel J. Kochenderfer:
Critical Factor Graph Situation Clusters for Accelerated Automotive Safety Validation. IV 2019: 2133-2139 - [c66]Shushman Choudhury, Jacob P. Knickerbocker, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. IV 2019: 2397-2404 - [c65]Andrea Zanette, Alessandro Lazaric, Mykel J. Kochenderfer, Emma Brunskill:
Limiting Extrapolation in Linear Approximate Value Iteration. NeurIPS 2019: 5616-5625 - [c64]Andrea Zanette, Mykel J. Kochenderfer, Emma Brunskill:
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model. NeurIPS 2019: 5626-5635 - [i74]Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer:
Real-time Prediction of Automotive Collision Risk from Monocular Video. CoRR abs/1902.01293 (2019) - [i73]Shushman Choudhury, Mykel J. Kochenderfer:
Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning. CoRR abs/1902.01560 (2019) - [i72]Mark Koren, Saud Alsaif, Ritchie Lee, Mykel J. Kochenderfer:
Adaptive Stress Testing for Autonomous Vehicles. CoRR abs/1902.01909 (2019) - [i71]Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel J. Kochenderfer:
A General Framework for Structured Learning of Mechanical Systems. CoRR abs/1902.08705 (2019) - [i70]Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer:
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control. CoRR abs/1902.09742 (2019) - [i69]Kyle D. Julian, Mykel J. Kochenderfer:
A Reachability Method for Verifying Dynamical Systems with Deep Neural Network Controllers. CoRR abs/1903.00520 (2019) - [i68]Kyle D. Julian, Shivam Sharma, Jean-Baptiste Jeannin, Mykel J. Kochenderfer:
Verifying Aircraft Collision Avoidance Neural Networks Through Linear Approximations of Safe Regions. CoRR abs/1903.00762 (2019) - [i67]Bohan Wu, Jayesh K. Gupta, Mykel J. Kochenderfer:
Model Primitive Hierarchical Lifelong Reinforcement Learning. CoRR abs/1903.01567 (2019) - [i66]Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. CoRR abs/1903.03642 (2019) - [i65]Edward Balaban, Stephen B. Johnson, Mykel J. Kochenderfer:
Rethinking System Health Management. CoRR abs/1903.03948 (2019) - [i64]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - [i63]Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. CoRR abs/1903.06758 (2019) - [i62]Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova:
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving. CoRR abs/1904.07189 (2019) - [i61]Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer:
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments. CoRR abs/1904.11483 (2019) - [i60]Markus Schratter, Maxime Bouton, Mykel J. Kochenderfer, Daniel Watzenig:
Pedestrian Collision Avoidance System for Scenarios with Occlusions. CoRR abs/1904.11566 (2019) - [i59]Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. CoRR abs/1904.12374 (2019) - [i58]Duncan Eddy, Mykel J. Kochenderfer:
Satellite Image Tasking Under Orbit Prediction Uncertainty. CoRR abs/1905.01417 (2019) - [i57]Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer:
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. CoRR abs/1905.02680 (2019) - [i56]