Kochenderfer, Mykel

13 publications

CoRL 2025 Enter the Mind Palace: Reasoning and Planning for Long-Term Active Embodied Question Answering Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Marek Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel Kochenderfer, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei

L4DC 2025 Informative Input Design for Dynamic Mode Decomposition Joshua Ott, Mykel Kochenderfer, Stephen Boyd

TMLR 2025 Open Problems in Technical AI Governance Anka Reuel, Benjamin Bucknall, Stephen Casper, Timothy 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, Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, David Bau, Paul Bricman, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel Kochenderfer, Robert Trager

WACV 2024 Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel Kochenderfer, Chiho Choi, Behzad Dariush

L4DC 2023 Model-Based Validation as Probabilistic Inference Harrison Delecki, Anthony Corso, Mykel Kochenderfer

NeurIPSW 2022 Graph Q-Learning for Combinatorial Optimization Victoria Magdalena Dax, Jiachen Li, Kevin Leahy, Mykel Kochenderfer

CoRL 2022 Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction Masha Itkina, Mykel Kochenderfer

L4DC 2022 Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints Samuel Low, Mykel Kochenderfer

L4DC 2022 Preface Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel Kochenderfer

ICML 2020 Learning near Optimal Policies with Low Inherent Bellman Error Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer, Emma Brunskill

UAI 2020 Robust Spatial-Temporal Incident Prediction Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik

ICML 2020 Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM Kunal Menda, Jean De Becdelievre, Jayesh Gupta, Ilan Kroo, Mykel Kochenderfer, Zachary Manchester

L4DC 2020 Structured Mechanical Models for Robot Learning and Control Jayesh K. Gupta, Kunal Menda, Zachary Manchester, Mykel Kochenderfer