| 2021 | AAAI | CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. | Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev |
| 2021 | ICML | Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap. | Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu |
| 2019 | AAAI | Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing. | Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell |
| 2019 | AISTATS | Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective. | Anirudh Vemula, Wen Sun, J. Andrew Bagnell |
| 2018 | ICLR | Truncated horizon Policy Search: Combining Reinforcement Learning & Imitation Learning. | Wen Sun, J. Andrew Bagnell, Byron Boots |
| 2017 | AISTATS | Gradient Boosting on Stochastic Data Streams. | Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell |
| 2017 | ICML | Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. | Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell |
| 2016 | AAAI | Online Instrumental Variable Regression with Applications to Online Linear System Identification. | Arun Venkatraman, Wen Sun, Martial Hebert, J. Andrew Bagnell, Byron Boots |
| 2016 | ECCV | A Discriminative Framework for Anomaly Detection in Large Videos. | Allison Del Giorno, J. Andrew Bagnell, Martial Hebert |
| 2016 | ICML | Learning to Filter with Predictive State Inference Machines. | Wen Sun, Arun Venkatraman, Byron Boots, J. Andrew Bagnell |
| 2016 | IJCAI | Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees. | Wen Sun, J. Andrew Bagnell |
| 2016 | IJCAI | Inference Machines for Nonparametric Filter Learning. | Arun Venkatraman, Wen Sun, Martial Hebert, Byron Boots, J. Andrew Bagnell |
| 2016 | IROS | Introspective perception: Learning to predict failures in vision systems. | Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert |
| 2016 | ICRA | A convex polynomial force-motion model for planar sliding: Identification and application. | Jiaji Zhou, Robert Paolini, J. Andrew Bagnell, Matthew T. Mason |
| 2016 | UAI | Efficient Feature Group Sequencing for Anytime Linear Prediction. | Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert |
| 2016 | UAI | Learning to Smooth with Bidirectional Predictive State Inference Machines. | Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots |
| 2015 | AAAI | Submodular Surrogates for Value of Information. | Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause |
| 2015 | AAAI | Improving Multi-Step Prediction of Learned Time Series Models. | Arun Venkatraman, Martial Hebert, J. Andrew Bagnell |
| 2015 | ICCV | Predicting Multiple Structured Visual Interpretations. | Debadeepta Dey, Varun Ramakrishna, Martial Hebert, J. Andrew Bagnell |
| 2015 | ICRA | Movement primitives via optimization. | Anca D. Dragan, Katharina Mlling, J. Andrew Bagnell, Siddhartha S. Srinivasa |
| 2015 | ICRA | Visual chunking: A list prediction framework for region-based object detection. | Nicholas Rhinehart, Jiaji Zhou, Martial Hebert, J. Andrew Bagnell |
| 2015 | UAI | Online Bellman Residual Algorithms with Predictive Error Guarantees. | Wen Sun, J. Andrew Bagnell |
| 2013 | ICRA | Efficient 3-D scene analysis from streaming data. | Hanzhang Hu, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2013 | ICRA | Efficient touch based localization through submodularity. | Shervin Javdani, Matthew Klingensmith, J. Andrew Bagnell, Nancy S. Pollard, Siddhartha S. Srinivasa |
| 2013 | ICRA | Clearing a pile of unknown objects using interactive perception. | Dov Katz, Moslem Kazemi, J. Andrew Bagnell, Anthony Stentz |
| 2013 | ICRA | Interactive segmentation, tracking, and kinematic modeling of unknown 3D articulated objects. | Dov Katz, Moslem Kazemi, J. Andrew Bagnell, Anthony Stentz |
| 2013 | ICRA | Efficient temporal consistency for streaming video scene analysis. | Ondrej Miksik, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2013 | ICRA | Learning monocular reactive UAV control in cluttered natural environments. | Stphane Ross, Narek Melik-Barkhudarov, Kumar Shaurya Shankar, Andreas Wendel, Debadeepta Dey, J. Andrew Bagnell, Martial Hebert |
| 2012 | IROS | An integrated system for autonomous robotics manipulation. | J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu |
| 2012 | ICRA | Active learning from demonstration for robust autonomous navigation. | David Silver, J. Andrew Bagnell, Anthony Stentz |
| 2012 | ICRA | Reinforcement Planning: RL for optimal planners. | Matthew Zucker, J. Andrew Bagnell |
| 2012 | IUI | Probabilistic pointing target prediction via inverse optimal control. | Brian D. Ziebart, Anind K. Dey, J. Andrew Bagnell |
| 2011 | CVPR | Learning message-passing inference machines for structured prediction. | Stphane Ross, Daniel Munoz, Martial Hebert, J. Andrew Bagnell |
| 2011 | ICRA | Segmentation-based online change detection for mobile robots. | Bradford Neuman, Boris Sofman, Anthony Stentz, J. Andrew Bagnell |
| 2011 | ICRA | 3-D scene analysis via sequenced predictions over points and regions. | Xuehan Xiong, Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2010 | ECCV | Stacked Hierarchical Labeling. | Daniel Munoz, J. Andrew Bagnell, Martial Hebert |
| 2010 | ICML | Boosted Backpropagation Learning for Training Deep Modular Networks. | Alexander Grubb, J. Andrew Bagnell |
| 2010 | ICML | Modeling Interaction via the Principle of Maximum Causal Entropy. | Brian D. Ziebart, J. Andrew Bagnell, Anind K. Dey |
| 2009 | ICRA | GATMO: A Generalized Approach to Tracking Movable Objects. | Garratt Gallagher, Siddhartha S. Srinivasa, J. Andrew Bagnell, Dave Ferguson |
| 2009 | ICRA | CHOMP: Gradient optimization techniques for efficient motion planning. | Nathan D. Ratliff, Matthew Zucker, J. Andrew Bagnell, Siddhartha S. Srinivasa |
| 2009 | ISRR | Perceptual Interpretation for Autonomous Navigation through Dynamic Imitation Learning. | David Silver, J. Andrew Bagnell, Anthony Stentz |
| 2009 | UAI | Convex Coding. | David M. Bradley, J. Andrew Bagnell |
| 2008 | AAAI | Maximum Entropy Inverse Reinforcement Learning. | Brian D. Ziebart, Andrew L. Maas, J. Andrew Bagnell, Anind K. Dey |
| 2007 | IJCAI | Kernel Conjugate Gradient for Fast Kernel Machines. | Nathan D. Ratliff, J. Andrew Bagnell |
| 2007 | ICRA | Vegetation Detection for Driving in Complex Environments. | David M. Bradley, Ranjith Unnikrishnan, J. Andrew Bagnell |
| 2006 | ICML | Maximum margin planning. | Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich |
| 2006 | IROS | Experimental Analysis of Overhead Data Processing To Support Long Range Navigation. | David Silver, Boris Sofman, Nicolas Vandapel, J. Andrew Bagnell, Anthony Stentz |
| 2005 | AAAI | Robust Supervised Learning. | J. Andrew Bagnell |
| 2003 | IJCAI | Covariant Policy Search. | J. Andrew Bagnell, Jeff G. Schneider |
| 2002 | UAI | Learning with Scope, with Application to Information Extraction and Classification. | David M. Blei, J. Andrew Bagnell, Andrew Kachites McCallum |
| 2001 | ICRA | Autonomous Helicopter Control using Reinforcement Learning Policy Search Methods. | J. Andrew Bagnell, Jeff G. Schneider |