Conference Papers

  • The Off-Switch Game. Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, and Stuart Russell. In International Joint Conference on Artificial Intelligence, 2017.[pdf]
  • Should Robots be Obedient? Smitha Milli, Dylan Hadfield-Menell, Anca Dragan, and Stuart Russell. In International Joint Conference on Artificial Intelligence, 2017.[pdf]
  • Expressive Robot Motion Timing. Allan Zhou, Dylan Hadfield-Menell, and Anca Dragan. In International Conference on Human Robot Interaction, 2017. [pdf]
  • Cooperative Inverse Reinforcement Learning. Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, and Stuart Russell. In Neural Information Processing Systems, 2016. [pdf][supplementary material]
  • Sequential Quadratic Programming for Task Plan Optimization. Dylan Hadfield-Menell, Chris Lin, Rohan Chitnis, Pieter Abbeel, and Stuart Russell. In IEEE/RSJ Conference on Intelligent Robots and Systems, 2016.[pdf][video]
  • Guided Search for Task and Motion Plans Using Learned Heuristics. Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, and Pieter Abbeel. In IEEE Conference on Robotics and Automation, 2016.[pdf][video]
  • Modular Task and Motion Planning in Belief Space. Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, and Pieter Abbeel. In IEEE/RSJ Conference on Intelligent Robots and Systems, 2015.[pdf]
  • Multitasking: Efficient Optimal Planning for Bandit Superprocesses. Dylan Hadfield-Menell, and Stuart Russell. In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence, 2015.[pdf][supplementary material]
  • Beyond Lowest-Warping Cost Action Selection in Trajectory Transfer. Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy Huang, and Pieter Abbeel. In IEEE Conference on Robotics and Automation, 2015.[pdf]
  • Unifying Scene Registration and Trajectory Optimization for Learning from Demonstrations with Application to Manipulation of Deformable Objects. Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014. [pdf]
  • Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning. Dylan Hadfield-Menell, Leslie Pack Kaelbling, and Tomás Lozano-Pérez. In IEEE Conference on Robotics and Automation, 2013.[pdf]

Workshop Papers

  • The Off-Switch Game. Dylan Hadfield-Menell, Anca Dragan, Pieter Abbeel, and Stuart Russell. To appear at in AAAI Workshop on AI, Ethics, and Society, 2016.[pdf]
  • Should a robot be compliant? . Smitha Milli, Dylan Hadfield-Menell, and Stuart Russell. In NIPS Workshop on Reliable Machine Learning in the Wild, 2016.
  • Learning an Interface to Improve Efficiency in Combined Task and Motion Planning. Rohan Chitnis, Dylan Hadfield-Menell, Siddharth Srivastava, Abhishek Gupta, and Pieter Abbeel. In IROS Workshop on Machine Learning in Planning and Control of Robot Motion, 2015.[pdf]

Workshops (Co-)Organized

  • Reliable Machine Learning in the Wild. International Conference on Machine Learning, Sydney, Australia 2017. [website]
  • Reliable Machine Learning in the Wild. Neural Information Processing Systems, Barcelona, Spain 2016. [website]

Other Publications

  • MIT Master's of Engineering Thesis.[pdf]