Selected Publications
- L. Chan, D. Hadfield-Menell, S. Srinivasa, and A.D. Dragan. The Assistive Multi-Armed Bandit. International Conference on Human-Robot Interaction (HRI), 2019.
- L. Chan, D. Hadfield-Menell, S. Srinivasa, and A.D. Dragan. The Assistive Multi-Armed Bandit. International Conference on Human-Robot Interaction (HRI), 2019.
- Chan, Lawrence and Hadfield-Menell, Dylan and Srinivasa, Siddhartha and Dragan, Anca. The Assistive Multi-Armed Bandit. 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019.
- Chan, Lawrence and Hadfield-Menell, Dylan and Srinivasa, Siddhartha and Dragan, Anca. The Assistive Multi-Armed Bandit. 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2019.
- Huang, Sandy H. and Held, David and Abbeel, Pieter and Dragan, Anca D. Enabling robots to communicate their objectives. Autonomous Robots, 2019.
- Huang, Sandy H. and Held, David and Abbeel, Pieter and Dragan, Anca D. Enabling robots to communicate their objectives. Autonomous Robots, 2019.
- R. Shah, D. Krasheninnikov. Preferences Implicit in the State of the World. International Conference on Learning Representations (ICLR), 2019.
- R. Shah, D. Krasheninnikov. Preferences Implicit in the State of the World. International Conference on Learning Representations (ICLR), 2019.
- K. Xu, E. Ratner. Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. International Conference on Machine Learning (ICML), 2019.
- K. Xu, E. Ratner. Learning a Prior over Intent via Meta-Inverse Reinforcement Learning. International Conference on Machine Learning (ICML), 2019.
- Shah, Rohin and Gundotra, Moah and Abbeel, Pieter and Dragan, Anca. On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. International Conference on Machine Learning (ICML), 2019.
- Shah, Rohin and Gundotra, Moah and Abbeel, Pieter and Dragan, Anca. On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference. International Conference on Machine Learning (ICML), 2019.
- Staub, Benno and Tanwani, Ajay Kumar and Mahler, Jeffrey and Breyer, Michel and Laskey, Michael and Takaoka, Yutaka and Bajracharya, Max and Siegwart, Roland and Goldberg, Ken. Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE, 2019.
- Staub, Benno and Tanwani, Ajay Kumar and Mahler, Jeffrey and Breyer, Michel and Laskey, Michael and Takaoka, Yutaka and Bajracharya, Max and Siegwart, Roland and Goldberg, Ken. Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE, 2019.
- Smitha Milli, Anca D. Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. Uncertainty in artificial intelligence UAI), 2019.
- Smitha Milli, Anca D. Literal or Pedagogic Human? Analyzing Human Model Misspecification in Objective Learning. Uncertainty in artificial intelligence UAI), 2019.
- Wang, Angelina and Kurutach, Thanard and Liu, Kara and Abbeel, Pieter and Tamar, Aviv. Learning Robotic Manipulation through Visual Planning and Acting. Robotics: science and systems, 2019.
- Wang, Angelina and Kurutach, Thanard and Liu, Kara and Abbeel, Pieter and Tamar, Aviv. Learning Robotic Manipulation through Visual Planning and Acting. Robotics: science and systems, 2019.
- Tanwani, Ajay Kumar and Mor, Nitesh and Kubiatowicz, John and Gonzalez, Joseph E. and Goldberg, Ken. A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering, International Conference on Robotics and Automation (ICRA), 2019
- Tanwani, Ajay Kumar and Mor, Nitesh and Kubiatowicz, John and Gonzalez, Joseph E. and Goldberg, Ken. A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering, International Conference on Robotics and Automation (ICRA), 2019
- Danielczuk, Michael and Matl, Matthew and Gupta, Saurabh and Li, Andrew and Lee, Andrew and Mahler, Jeffrey and Goldberg, Ken. Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. International Conference on Robotics and Automation (ICRA), 2019.
- Danielczuk, Michael and Matl, Matthew and Gupta, Saurabh and Li, Andrew and Lee, Andrew and Mahler, Jeffrey and Goldberg, Ken. Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. International Conference on Robotics and Automation (ICRA), 2019.
- Ren, Xinyi and Luo, Jianlan and SolowjoW, Eugen and Ojea, Juan Aparicio and Gupta, Abhishek and Tamar, Aviv and Abbeel, Pieter. Domain Randomization for Active Pose Estimation. International Conference on Robotics and Automation (ICRA), 2019.
- Ren, Xinyi and Luo, Jianlan and SolowjoW, Eugen and Ojea, Juan Aparicio and Gupta, Abhishek and Tamar, Aviv and Abbeel, Pieter. Domain Randomization for Active Pose Estimation. International Conference on Robotics and Automation (ICRA), 2019.
- Satish, Vishal and Mahler, Jeffrey and Goldberg, Ken. On-Policy Dataset Synthesis for Learning Robot Grasping Policies Using Fully Convolutional Deep Networks. IEEE Robotics and Automation Letters, 2019.
- Satish, Vishal and Mahler, Jeffrey and Goldberg, Ken. On-Policy Dataset Synthesis for Learning Robot Grasping Policies Using Fully Convolutional Deep Networks. IEEE Robotics and Automation Letters, 2019.
- Krishnan, Sanjay and Garg, Animesh and Liaw, Richard and Thananjeyan, Brijen and Miller, Lauren and Pokorny, Florian T and Goldberg, Ken. SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. The International Journal of Robotics Research (IJRR), 2019.
- Krishnan, Sanjay and Garg, Animesh and Liaw, Richard and Thananjeyan, Brijen and Miller, Lauren and Pokorny, Florian T and Goldberg, Ken. SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards. The International Journal of Robotics Research (IJRR), 2019.
- Fox, R. and Shin, R. and Krishnan, S. and Goldberg, K. and Song, D. and Stoica, I. Parameterized Hierarchical Procedures for Neural Programming, ICLR 2018.
- Fox, R. and Shin, R. and Krishnan, S. and Goldberg, K. and Song, D. and Stoica, I. Parameterized Hierarchical Procedures for Neural Programming, ICLR 2018.
- Tanwani, Ajay Kumar and Lee, Jonathan and Thananjeyan, Brijen and Laskey, Michael and Krishnan, Sanjay and Fox, Roy and Goldberg, Ken and Calinon, Sylvain. Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. Workshop on the Algorithmic Foundations of Robotics, 2018.
- Tanwani, Ajay Kumar and Lee, Jonathan and Thananjeyan, Brijen and Laskey, Michael and Krishnan, Sanjay and Fox, Roy and Goldberg, Ken and Calinon, Sylvain. Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. Workshop on the Algorithmic Foundations of Robotics, 2018.
- Lee, Jonathan and Laskey, Michael and Kumar Tanwani, Ajay and Aswani, Anil and Goldberg, Ken. A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018.
- Lee, Jonathan and Laskey, Michael and Kumar Tanwani, Ajay and Aswani, Anil and Goldberg, Ken. A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. Proceedings of the 13th Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018.
- Kurutach, Thanard and Tamar, Aviv and Yang, Ge and Russell, Stuart and Abbeel, Pieter. Learning Plannable Representations with Causal InfoGAN. Neural Information Processing Systems (NeurIPS), 2018.
- Kurutach, Thanard and Tamar, Aviv and Yang, Ge and Russell, Stuart and Abbeel, Pieter. Learning Plannable Representations with Causal InfoGAN. Neural Information Processing Systems (NeurIPS), 2018.
- Huang, Sandy H. and Bhatia, Kush and Abbeel, Pieter and Dragan, Anca D. Establishing Appropriate Trust via Critical States. IROS, 2018.
- Huang, Sandy H. and Bhatia, Kush and Abbeel, Pieter and Dragan, Anca D. Establishing Appropriate Trust via Critical States. IROS, 2018.
- Krishnan, S. and Fox, R. and Stoica, I. and Goldberg, K. DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. CoRL, 2018.
- Krishnan, S. and Fox, R. and Stoica, I. and Goldberg, K. DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. CoRL, 2018.
- FIsac, J. and Gates, M. and Hamrick, J. and Liu, C. and Hadfield-Mennell, D. and Palaniappan, M. and Malik, D. and Sastry, S. and Griffiths, T. and Dragan, A. Pragmatic-Pedagogic Value Alignment. International Symposium on Robotics Research (ISRR), 2018.
- FIsac, J. and Gates, M. and Hamrick, J. and Liu, C. and Hadfield-Mennell, D. and Palaniappan, M. and Malik, D. and Sastry, S. and Griffiths, T. and Dragan, A. Pragmatic-Pedagogic Value Alignment. International Symposium on Robotics Research (ISRR), 2018.
- Srinivas, A. and Jabri, A. and Abbeel, P. and Levine, S. and Finn, C. Universal Planning Networks. International Conference on Machine Learning (ICML), 2018.
- Srinivas, A. and Jabri, A. and Abbeel, P. and Levine, S. and Finn, C. Universal Planning Networks. International Conference on Machine Learning (ICML), 2018.
- Malik, D. and Palaniappan, M. and Fisac, J. and Hadfield-Mennell, D. and Russell, S. and Dragan, A. An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML, 2018.
- Malik, D. and Palaniappan, M. and Fisac, J. and Hadfield-Mennell, D. and Russell, S. and Dragan, A. An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML, 2018.
- Lee, Jonathan and Laskey, Michael and Fox, Roy and Goldberg, Ken. Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018.
- Lee, Jonathan and Laskey, Michael and Fox, Roy and Goldberg, Ken. Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations. IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018.
- Li, Pusong and DeRose, Bill and Mahler, Jeffrey and Ojea, Juan Aparicio and Tanwani, Ajay Kumar and Goldberg, Ken. Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018.
- Li, Pusong and DeRose, Bill and Mahler, Jeffrey and Ojea, Juan Aparicio and Tanwani, Ajay Kumar and Goldberg, Ken. Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. IEEE 14th International Conference on Automation Science and Engineering (CASE), 2018.
- Ratner, E. and Hadfield-Mennell, D. and Dragan, A. Simplifying Reward Design through Divide-and-Conquer. Robotics: Science and Systems (RSS), 2018.
- Ratner, E. and Hadfield-Mennell, D. and Dragan, A. Simplifying Reward Design through Divide-and-Conquer. Robotics: Science and Systems (RSS), 2018.
- Bestick, A. and Pandya, R. and Bajcsy, R. and Dragan, A. Learning Human Ergonomic Preferences for Handovers. International Conference on Robotics and Automation (ICRA), 2018
- Bestick, A. and Pandya, R. and Bajcsy, R. and Dragan, A. Learning Human Ergonomic Preferences for Handovers. International Conference on Robotics and Automation (ICRA), 2018
- Mahler, J. and Matl, M. and Liu, X. and Li, A. and Gealy, D. and Goldberg, K. Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning. IEEE International Conference on Robotics and Automation, 2018.
- Mahler, J. and Matl, M. and Liu, X. and Li, A. and Gealy, D. and Goldberg, K. Dex-Net 3.0: Computing Robust Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning. IEEE International Conference on Robotics and Automation, 2018.
- Zhang, T. and McCarthy, Z. and Jow, O. and Lee, D. and Chen, X. and Goldberg, K. and Abbeel, P. Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation. IEEE International Conference on Robotics and Automation, 2018.
- Zhang, T. and McCarthy, Z. and Jow, O. and Lee, D. and Chen, X. and Goldberg, K. and Abbeel, P. Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation. IEEE International Conference on Robotics and Automation, 2018.
- Pandya, Ravi and Huang, Sandy H. and Hadfield-Menell, Dylan and Dragan, Anca D. Human-AI Learning Performance in Multi-Armed Bandits. Artificial Intelligence, Ethics and Society (AIES), 2018.
- Pandya, Ravi and Huang, Sandy H. and Hadfield-Menell, Dylan and Dragan, Anca D. Human-AI Learning Performance in Multi-Armed Bandits. Artificial Intelligence, Ethics and Society (AIES), 2018.
- Mahler, J. and Goldberg, K. Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences. CoRL, 2017.
- Mahler, J. and Goldberg, K. Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences. CoRL, 2017.
- Bai, A. and Russell, S. Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions. Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017.
- Bai, A. and Russell, S. Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions. Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017.
- Krishnan, Sanjay and Garg, Animesh and Patil, Sachin and Lea, Colin and Hager, Gregory and Abbeel, Pieter and Goldberg, Ken. Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning. The International Journal of Robotics Research, 2017.
- Krishnan, Sanjay and Garg, Animesh and Patil, Sachin and Lea, Colin and Hager, Gregory and Abbeel, Pieter and Goldberg, Ken. Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning. The International Journal of Robotics Research, 2017.
- Laskey, M. and Lee, J. and Fox, R. and Dragan, A. and Goldberg, K. DART: Noise Injection for Robust Imitation Learning. CoRL, 2017.
- Laskey, M. and Lee, J. and Fox, R. and Dragan, A. and Goldberg, K. DART: Noise Injection for Robust Imitation Learning. CoRL, 2017.
- Milli, S. and Hadfield-Menell, D. and Dragan, A. and Russell, S. Should Robots be Obedient?. Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), 2017.
- Milli, S. and Hadfield-Menell, D. and Dragan, A. and Russell, S. Should Robots be Obedient?. Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), 2017.
- Hadfield-Menell, Dylan and Dragan, Anca and Abbeel, Pieter and Russell, Stuart. The Off-Switch Game. International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017.
- Hadfield-Menell, Dylan and Dragan, Anca and Abbeel, Pieter and Russell, Stuart. The Off-Switch Game. International Joint Conferences on Artificial Intelligence Organization (IJCAI), 2017.