Dylan Hadfield-Menell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
13
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Diverse Preference Learning for Capabilities and Alignment. | Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell |
| 2024 | ICLR | Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF. | Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell |
| 2023 | AAAI | White-Box Adversarial Policies in Deep Reinforcement Learning. | Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman |
| 2023 | EMNLP | Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? | Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas |
| 2022 | AIES | A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems. | Rui-Jie Yew, Dylan Hadfield-Menell |
| 2022 | ICML | Estimating and Penalizing Induced Preference Shifts in Recommender Systems. | Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell |
| 2022 | RecSys | Towards Psychologically-Grounded Dynamic Preference Models. | Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell |
| 2021 | CoRL | Guided Imitation of Task and Motion Planning. | Michael James McDonald, Dylan Hadfield-Menell |
| 2021 | RecSys | Estimating and Penalizing Preference Shift in Recommender Systems. | Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan |
| 2020 | AIES | Conservative Agency via Attainable Utility Preservation. | Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli |
| 2019 | AIES | Legible Normativity for AI Alignment: The Value of Silly Rules. | Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield |
| 2019 | AIES | Incomplete Contracting and AI Alignment. | Dylan Hadfield-Menell, Gillian K. Hadfield |
| 2019 | AIES | Human-AI Learning Performance in Multi-Armed Bandits. | Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan |
| 2019 | HRI | The Assistive Multi-Armed Bandit. | Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan |
| 2019 | HRI | On the Utility of Model Learning in HRI. | Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan |
| 2019 | IJCAI | Conservative Agency. | Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli |
| 2018 | ICML | An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. | Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan |
| 2017 | AAAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | HRI | Expressive Robot Motion Timing. | Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan |
| 2017 | IJCAI | The Off-Switch Game. | Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell |
| 2017 | IJCAI | Should Robots be Obedient? | Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell |
| 2017 | ISRR | Pragmatic-Pedagogic Value Alignment. | Jaime F. Fisac, Monica A. Gates, Jessica B. Hamrick, Chang Liu, Dylan Hadfield-Menell, Malayandi Palaniappan, Dhruv Malik, S. Shankar Sastry, Thomas L. Griffiths, Anca D. Dragan |
| 2016 | ICRA | Guided search for task and motion plans using learned heuristics. | Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel |
| 2016 | IROS | Sequential quadratic programming for task plan optimization. | Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel |
| 2015 | ICRA | Beyond lowest-warping cost action selection in trajectory transfer. | Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel |
| 2015 | IROS | Modular task and motion planning in belief space. | Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel |
| 2015 | UAI | Multitasking: Optimal Planning for Bandit Superprocesses. | Dylan Hadfield-Menell, Stuart Russell |
| 2014 | IROS | 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 |
| 2013 | ICRA | Optimization in the now: Dynamic peephole optimization for hierarchical planning. | Dylan Hadfield-Menell, Leslie Pack Kaelbling, Toms Lozano-Prez |