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Constrained Hierarchical Monte Carlo Belief-State Planning.
Arec L. Jamgochian, Hugo Buurmeijer, Kyle Hollins Wray, Anthony Corso, Mykel J. Kochenderfer: Constrained Hierarchical Monte Carlo Belief-State Planning. CoRR abs/2310.20054 (2023)
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Predicting Future Spatiotemporal Occupancy Grids with Semantics for...
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, Mykel J. Kochenderfer: Predicting Future Spatiotemporal Occupancy Grids with Semantics for Autonomous Driving. CoRR abs/2310.01723 (2023)
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Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in...
Bernard Lange, Jiachen Li, Mykel J. Kochenderfer: Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments. CoRR abs/2309.13893 (2023)
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SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning.
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer: SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. CoRR abs/2309.12474 (2023)
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Satisfiability.jl: Satisfiability Modulo Theories in Julia.
Emiko Soroka, Mykel J. Kochenderfer, Sanjay Lall: Satisfiability.jl: Satisfiability Modulo Theories in Julia. CoRR abs/2309.08778 (2023)
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Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and...
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...
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A Holistic Assessment of the Reliability of Machine Learning Systems.
Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer: A Holistic Assessment of the Reliability of Machine Learning Systems. CoRR abs/2307.10586 (2023)
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Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer: Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR abs/2307.10160 (2023)
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Efficient Determination of Safety Requirements for Perception Systems.
Sydney M. Katz, Anthony L. Corso, Esen Yel, Mykel J. Kochenderfer: Efficient Determination of Safety Requirements for Perception Systems. CoRR abs/2307.01371 (2023)
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Deep Normalizing Flows for State Estimation.
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer: Deep Normalizing Flows for State Estimation. CoRR abs/2306.15605 (2023)
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AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator.
Elysia Q. Smyers, Sydney M. Katz, Anthony L. Corso, Mykel J. Kochenderfer: AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. CoRR abs/2306.11203 (2023)
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BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned...
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer: BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations. CoRR abs/2306.00249 (2023)
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Experience Filter: Using Past Experiences on Unseen Tasks or Environments.
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 abs/2305.18633 (2023)
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Model-based Validation as Probabilistic Inference.
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer: Model-based Validation as Probabilistic Inference. CoRR abs/2305.09930 (2023)
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Joint Falsification and Fidelity Settings Optimization for Validation of...
Ali Baheri, Mykel J. Kochenderfer: Joint Falsification and Fidelity Settings Optimization for Validation of Safety-Critical Systems: A Theoretical Analysis. CoRR abs/2305.06111 (2023)
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Bayesian Safety Validation for Black-Box Systems.
Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois: Bayesian Safety Validation for Black-Box Systems. CoRR abs/2305.02449 (2023)
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Optimizing Carbon Storage Operations for Long-Term Safety.
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 abs/2304.09352...
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Safe and Efficient Navigation in Extreme Environments using Semantic Belief...
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...
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Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures.
Soyeon Jung, Mykel J. Kochenderfer: Inferring Traffic Models in Terminal Airspace from Flight Tracks and Procedures. CoRR abs/2303.09981 (2023)
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Incorporating Human Path Preferences in Robot Navigation with Minimal...
Oriana Peltzer, Dylan M. Asmar, Mac Schwager, Mykel J. Kochenderfer: Incorporating Human Path Preferences in Robot Navigation with Minimal Interventions. CoRR abs/2303.03530 (2023)
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Adaptive Coverage Path Planning for Efficient Exploration of Unknown...
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...
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Fast and Scalable Signal Inference for Active Robotic Source Seeking.
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...
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Model-based Validation as Probabilistic Inference.
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer: Model-based Validation as Probabilistic Inference. L4DC 2023: 825-837
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Experience Filter: Using Past Experiences on Unseen Tasks or Environments.
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: 1-7
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Fast and Scalable Signal Inference for Active Robotic Source Seeking.
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...
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Sequential Bayesian Optimization for Adaptive Informative Path Planning with...
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer: Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing. ICRA 2023: 7894-7901
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Safe and Efficient Navigation in Extreme Environments using Semantic Belief...
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...
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Model Predictive Optimized Path Integral Strategies.
Dylan M. Asmar, Ransalu Senanayake, Shawn Manuel, Mykel J. Kochenderfer: Model Predictive Optimized Path Integral Strategies. ICRA 2023: 3182-3188
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for...
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:...
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Deep Normalizing Flows for State Estimation.
Harrison Delecki, Liam A. Kruse, Marc R. Schlichting, Mykel J. Kochenderfer: Deep Normalizing Flows for State Estimation. FUSION 2023: 1-6
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Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian...
Zahra Shahrooei, Mykel J. Kochenderfer, Ali Baheri: Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization. ECC 2023: 1-6
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Online Planning for Constrained POMDPs with Continuous Spaces through Dual...
Arec L. Jamgochian, Anthony Corso, Mykel J. Kochenderfer: Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent. ICAPS 2023: 198-202
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Modeling Human Driving Behavior Through Generative Adversarial Imitation...
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...
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Global optimization of objective functions represented by ReLU networks.
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....
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Generating probabilistic safety guarantees for neural network controllers.
Sydney M. Katz, Kyle D. Julian, Christopher A. Strong, Mykel J. Kochenderfer: Generating probabilistic safety guarantees for neural network controllers. Mach. Learn. 112(8): 2903-2931 (2023)
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Guest Editorial: Special issue on robust machine learning.
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):...
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Optimality Guarantees for Particle Belief Approximation of POMDPs.
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: 1591-1636 (2023)
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Approximate Sequential Optimization for Informative Path Planning.
Joshua Ott, Mykel J. Kochenderfer, Stephen P. Boyd: Approximate Sequential Optimization for Informative Path Planning. CoRR abs/2402.08841 (2024)
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Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in...
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...
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Distributed Markov Chain Monte Carlo Sampling based on the Alternating...
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...
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Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation.
Jiachen Li, Chuanbo Hua, Hengbo Ma, Jinkyoo Park, Victoria Magdalena Dax, Mykel J. Kochenderfer: Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation. CoRR abs/2401.12275 (2024)
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The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement...
Ali Baheri, Mykel J. Kochenderfer: The Synergy Between Optimal Transport Theory and Multi-Agent Reinforcement Learning. CoRR abs/2401.10949 (2024)
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Graph Q-Learning for Combinatorial Optimization.
Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel J. Kochenderfer: Graph Q-Learning for Combinatorial Optimization. CoRR abs/2401.05610 (2024)
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Disentangled Neural Relational Inference for Interpretable Motion Prediction.
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel J. Kochenderfer: Disentangled Neural Relational Inference for Interpretable Motion Prediction. CoRR abs/2401.03599 (2024)
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Disentangled Neural Relational Inference for Interpretable Motion Prediction.
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):...
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Entropy-regularized Point-based Value Iteration.
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 abs/2402.09388...
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Robust Driving Policy Learning with Guided Meta Reinforcement Learning.
Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer: Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC 2023: 4114-4120
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SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning.
Marc R. Schlichting, Nina V. Boord, Anthony L. Corso, Mykel J. Kochenderfer: SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning. ITSC 2023: 2118-2124
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Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics...
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
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AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator.
Elysia Q. Smyers, Sydney M. Katz, Anthony Corso, Mykel J. Kochenderfer: AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator. NeurIPS 2023
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