Dylan Hadfield-Menell

112 papers A* 18A 8C 6Misc 1Journal 70Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Open Technical Problems in Open-Weight AI Model Risk Management. Trans. Mach. Learn. Res. Stephen Casper, Kyle O'Brien, Shayne Longpre, Elizabeth Seger, Kevin Klyman, Rishi Bommasani, Aniruddha Nrusimha, Ilia Shumailov, Sören Mindermann, Steven Basart, Frank Rudzicz, Kellin Pelrine, Avijit Ghosh, Andrew Strait, Robert Kirk, Dan Hendrycks, Peter Henderson, J. Zico Kolter, Geoffrey Irving, Yarin Gal, Yoshua Bengio, Dylan Hadfield-Menell
2026	J	`jnl`	Prompt Injection as Role Confusion. CoRR Charles Ye, Jasmine Cui, Dylan Hadfield-Menell
2026	J	`jnl`	Surgical Activation Steering via Generative Causal Mediation. CoRR Aruna Sankaranarayanan, Amir Zur, Atticus Geiger, Dylan Hadfield-Menell
2026	J	`jnl`	The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement. CoRR Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng
2025	J	`jnl`	CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment. CoRR Prajna Soni, Deepika Raman, Dylan Hadfield-Menell
2025	J	`jnl`	Defending Against Unforeseen Failure Modes with Latent Adversarial Training. Trans. Mach. Learn. Res. Stephen Casper, Lennart Schulze, Oam Patel, Dylan Hadfield-Menell
2025	J	`jnl`	Disjoint Processing Mechanisms of Hierarchical and Linear Grammars in Large Language Models. CoRR Aruna Sankaranarayanan, Dylan Hadfield-Menell, Aaron Mueller
2025	A*	`conf`	Diverse Preference Learning for Capabilities and Alignment. ICLR Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell
2025	J	`jnl`	Diverse Preference Learning for Capabilities and Alignment. CoRR Stewart Slocum, Asher Parker-Sartori, Dylan Hadfield-Menell
2025	J	`jnl`	Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. CoRR Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo
2025	J	`jnl`	Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs. Trans. Mach. Learn. Res. Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper
2025	J	`jnl`	Layered Unlearning for Adversarial Relearning. CoRR Timothy Qian, Vinith Suriyakumar, Ashia Wilson, Dylan Hadfield-Menell
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. CoRR Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. Trans. Mach. Learn. Res. Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell
2025	J	`jnl`	Open-Universe Assistance Games. CoRR Rachel Ma, Jingyi Qu, Andreea Bobu, Dylan Hadfield-Menell
2025	J	`jnl`	Pitfalls of Evidence-Based AI Policy. CoRR Stephen Casper, David Krueger, Dylan Hadfield-Menell
2025	—	`conf`	Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs. FAccT Ariba Khan, Stephen Casper, Dylan Hadfield-Menell
2025	J	`jnl`	Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs. CoRR Ariba Khan, Stephen Casper, Dylan Hadfield-Menell
2025	J	`jnl`	The AI Agent Index. CoRR Stephen Casper, Luke Bailey, Rosco Hunter, Carson Ezell, Emma Cabalé, Michael Gerovitch, Stewart Slocum, Kevin Wei, Nikola Jurkovic, Ariba Khan, Phillip J. K. Christoffersen, A. Pinar Ozisik, Rakshit S. Trivedi, Dylan Hadfield-Menell, Noam Kolt
2025	J	`jnl`	Video Deepfake Abuse: How Company Choices Predictably Shape Misuse Patterns. CoRR Max Kamachee, Stephen Casper, Michelle L. Ding, Rui-Jie Yew, Anka Reuel, Stella Biderman, Dylan Hadfield-Menell
2024	—	`conf`	Black-Box Access is Insufficient for Rigorous AI Audits. FAccT Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024	J	`jnl`	Black-Box Access is Insufficient for Rigorous AI Audits. CoRR Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024	J	`jnl`	Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. Trans. Recomm. Syst. Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Chloé Bakalar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy Xian Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan
2024	J	`jnl`	Defending Against Unforeseen Failure Modes with Latent Adversarial Training. CoRR Stephen Casper, Lennart Schulze, Oam Patel, Dylan Hadfield-Menell
2024	A*	`conf`	Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF. ICLR Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell
2024	J	`jnl`	Eight Methods to Evaluate Robust Unlearning in LLMs. CoRR Aengus Lynch, Phillip Guo, Aidan Ewart, Stephen Casper, Dylan Hadfield-Menell
2024	J	`jnl`	Formal contracts mitigate social dilemmas in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Andreas A. Haupt, Phillip J. K. Christoffersen, Mehul Damani, Dylan Hadfield-Menell
2024	J	`jnl`	Goal Inference from Open-Ended Dialog. CoRR Rachel Ma, Jingyi Qu, Andreea Bobu, Dylan Hadfield-Menell
2024	A*	`conf`	Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS Rakshit S. Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, Dipam Chakraborty, John P. Agapiou, Jayd Matyas, Alexander Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo
2024	J	`jnl`	Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs. CoRR Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper
2024	J	`jnl`	The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability. CoRR Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell
2023	J	`jnl`	Benchmarking Interpretability Tools for Deep Neural Networks. CoRR Stephen Casper, Yuxiao Li, Jiawei Li, Tong Bu, Kevin Zhang, Dylan Hadfield-Menell
2023	A*	`conf`	Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? EMNLP Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas
2023	J	`jnl`	Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness? CoRR Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas
2023	J	`jnl`	Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF. CoRR Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell
2023	J	`jnl`	Explore, Establish, Exploit: Red Teaming Language Models from Scratch. CoRR Stephen Casper, Jason Lin, Joe Kwon, Gatlen Culp, Dylan Hadfield-Menell
2023	A	`conf`	Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. AAMAS Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell
2023	J	`jnl`	Measuring the Success of Diffusion Models at Imitating Human Artists. CoRR Stephen Casper, Zifan Guo, Shreya Mogulothu, Zachary Marinov, Chinmay Deshpande, Rui-Jie Yew, Zheng Dai, Dylan Hadfield-Menell
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
2023	J	`jnl`	Recommending to Strategic Users. CoRR Andreas A. Haupt, Dylan Hadfield-Menell, Chara Podimata
2023	A*	`conf`	Red Teaming Deep Neural Networks with Feature Synthesis Tools. NeurIPS Stephen Casper, Tong Bu, Yuxiao Li, Jiawei Li, Kevin Zhang, Kaivalya Hariharan, Dylan Hadfield-Menell
2023	—	`conf`	Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. SaTML Tilman Räuker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell
2023	—	`conf`	White-Box Adversarial Policies in Deep Reinforcement Learning. SafeAI@AAAI Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman
2022	C	`conf`	A Penalty Default Approach to Preemptive Harm Disclosure and Mitigation for AI Systems. AIES Rui-Jie Yew, Dylan Hadfield-Menell
2022	J	`jnl`	Building Human Values into Recommender Systems: An Interdisciplinary Synthesis. CoRR Jonathan Stray, Alon Y. Halevy, Parisa Assar, Dylan Hadfield-Menell, Craig Boutilier, Amar Ashar, Lex Beattie, Michael D. Ekstrand, Claire Leibowicz, Connie Moon Sehat, Sara Johansen, Lianne Kerlin, David Vickrey, Spandana Singh, Sanne Vrijenhoek, Amy X. Zhang, McKane Andrus, Natali Helberger, Polina Proutskova, Tanushree Mitra, Nina Vasan
2022	J	`jnl`	Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks. CoRR Stephen Casper, Kaivalya Hariharan, Dylan Hadfield-Menell
2022	A*	`conf`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. ICML Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell
2022	J	`jnl`	Estimating and Penalizing Induced Preference Shifts in Recommender Systems. CoRR Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2022	J	`jnl`	Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. CoRR Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell
2022	A*	`conf`	How to talk so AI will learn: Instructions, descriptions, and autonomy. NeurIPS Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Tom Griffiths, Dylan Hadfield-Menell
2022	J	`jnl`	How to talk so your robot will learn: Instructions, descriptions, and pragmatics. CoRR Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell
2022	J	`jnl`	Linguistic communication as (inverse) reward design. CoRR Theodore R. Sumers, Robert D. Hawkins, Mark K. Ho, Thomas L. Griffiths, Dylan Hadfield-Menell
2022	A*	`conf`	Robust Feature-Level Adversaries are Interpretability Tools. NeurIPS Stephen Casper, Max Nadeau, Dylan Hadfield-Menell, Gabriel Kreiman
2022	J	`jnl`	Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks. CoRR Tilman Räuker, Anson Ho, Stephen Casper, Dylan Hadfield-Menell
2022	A	`conf`	Towards Psychologically-Grounded Dynamic Preference Models. RecSys Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell
2022	J	`jnl`	Towards Psychologically-Grounded Dynamic Preference Models. CoRR Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht
2022	J	`jnl`	White-Box Adversarial Policies in Deep Reinforcement Learning. CoRR Stephen Casper, Dylan Hadfield-Menell, Gabriel Kreiman
2021	J	`jnl`	Consequences of Misaligned AI. CoRR Simon Zhuang, Dylan Hadfield-Menell
2021	A	`conf`	Estimating and Penalizing Preference Shift in Recommender Systems. RecSys Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2021	Misc	`conf`	Guided Imitation of Task and Motion Planning. CoRL Michael James McDonald, Dylan Hadfield-Menell
2021	J	`jnl`	Guided Imitation of Task and Motion Planning. CoRR Michael James McDonald, Dylan Hadfield-Menell
2021	J	`jnl`	What are you optimizing for? Aligning Recommender Systems with Human Values. CoRR Jonathan Stray, Ivan Vendrov, Jeremy Nixon, Steven Adler, Dylan Hadfield-Menell
2021	J	`jnl`	When Curation Becomes Creation: Algorithms, Microcontent, and the Vanishing Distinction between Platforms and Creators. CoRR Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2021	J	`jnl`	When Curation Becomes Creation: Algorithms, microcontent, and the vanishing distinction between platforms and creators. ACM Queue Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2021	J	`jnl`	When curation becomes creation. Commun. ACM Liu Leqi, Dylan Hadfield-Menell, Zachary C. Lipton
2020	A*	`conf`	Consequences of Misaligned AI. NeurIPS Simon Zhuang, Dylan Hadfield-Menell
2020	C	`conf`	Conservative Agency via Attainable Utility Preservation. AIES Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
2020	J	`jnl`	Multi-Principal Assistance Games. CoRR Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell, Stuart Russell
2020	J	`jnl`	Multi-Principal Assistance Games: Definition and Collegial Mechanisms. CoRR Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell
2020	A	`conf`	Silly Rules Improve the Capacity of Agents to Learn Stable Enforcement and Compliance Behaviors. AAMAS Raphael Koster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo
2020	J	`jnl`	Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors. CoRR Raphael Köster, Dylan Hadfield-Menell, Gillian K. Hadfield, Joel Z. Leibo
2019	J	`jnl`	Adversarial Training with Voronoi Constraints. CoRR Marc Khoury, Dylan Hadfield-Menell
2019	J	`jnl`	An Extensible Interactive Interface for Agent Design. CoRR Matthew Rahtz, James Fang, Anca D. Dragan, Dylan Hadfield-Menell
2019	J	`jnl`	Conservative Agency via Attainable Utility Preservation. CoRR Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
2019	—	`conf`	Conservative Agency. AISafety@IJCAI Alexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli
2019	C	`conf`	Human-AI Learning Performance in Multi-Armed Bandits. AIES Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2019	C	`conf`	Incomplete Contracting and AI Alignment. AIES Dylan Hadfield-Menell, Gillian K. Hadfield
2019	C	`conf`	Legible Normativity for AI Alignment: The Value of Silly Rules. AIES Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield
2019	A*	`conf`	On the Utility of Model Learning in HRI. HRI Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan
2019	J	`jnl`	On the Utility of Model Learning in HRI. CoRR Rohan Choudhury, Gokul Swamy, Dylan Hadfield-Menell, Anca D. Dragan
2019	A*	`conf`	The Assistive Multi-Armed Bandit. HRI Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
2019	J	`jnl`	The Assistive Multi-Armed Bandit. CoRR Lawrence Chan, Dylan Hadfield-Menell, Siddhartha S. Srinivasa, Anca D. Dragan
2018	J	`jnl`	Active Inverse Reward Design. CoRR Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell
2018	A*	`conf`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. ICML Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	J	`jnl`	An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning. CoRR Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan
2018	J	`jnl`	Expressive Robot Motion Timing. CoRR Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
2018	J	`jnl`	Human-AI Learning Performance in Multi-Armed Bandits. CoRR Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan
2018	J	`jnl`	Incomplete Contracting and AI Alignment. CoRR Dylan Hadfield-Menell, Gillian K. Hadfield
2018	J	`jnl`	Legible Normativity for AI Alignment: The Value of Silly Rules. CoRR Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield
2018	J	`jnl`	On the Geometry of Adversarial Examples. CoRR Marc Khoury, Dylan Hadfield-Menell
2018	—	`conf`	Simplifying Reward Design through Divide-and-Conquer. Robotics: Science and Systems Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan
2018	J	`jnl`	Simplifying Reward Design through Divide-and-Conquer. CoRR Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan
2017	A*	`conf`	Expressive Robot Motion Timing. HRI Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi, Anca D. Dragan
2017	—	`conf`	Inverse Reward Design. NIPS Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart J. Russell, Anca D. Dragan
2017	J	`jnl`	Inverse Reward Design. CoRR Dylan Hadfield-Menell, Smitha Milli, Pieter Abbeel, Stuart Russell, Anca D. Dragan
2017	C	`conf`	Pragmatic-Pedagogic Value Alignment. ISRR 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
2017	J	`jnl`	Pragmatic-Pedagogic Value Alignment. CoRR 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
2017	A*	`conf`	Should Robots be Obedient? IJCAI Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	J	`jnl`	Should Robots be Obedient? CoRR Smitha Milli, Dylan Hadfield-Menell, Anca D. Dragan, Stuart Russell
2017	—	`conf`	The Off-Switch Game. AAAI Workshops Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2017	A*	`conf`	The Off-Switch Game. IJCAI Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	—	`conf`	Cooperative Inverse Reinforcement Learning. NIPS Dylan Hadfield-Menell, Stuart Russell, Pieter Abbeel, Anca D. Dragan
2016	J	`jnl`	Cooperative Inverse Reinforcement Learning. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2016	A*	`conf`	Guided search for task and motion plans using learned heuristics. ICRA Rohan Chitnis, Dylan Hadfield-Menell, Abhishek Gupta, Siddharth Srivastava, Edward Groshev, Christopher Lin, Pieter Abbeel
2016	A	`conf`	Sequential quadratic programming for task plan optimization. IROS Dylan Hadfield-Menell, Christopher Lin, Rohan Chitnis, Stuart Russell, Pieter Abbeel
2016	J	`jnl`	The Off-Switch Game. CoRR Dylan Hadfield-Menell, Anca D. Dragan, Pieter Abbeel, Stuart Russell
2015	A*	`conf`	Beyond lowest-warping cost action selection in trajectory transfer. ICRA Dylan Hadfield-Menell, Alex X. Lee, Chelsea Finn, Eric Tzeng, Sandy H. Huang, Pieter Abbeel
2015	A	`conf`	Modular task and motion planning in belief space. IROS Dylan Hadfield-Menell, Edward Groshev, Rohan Chitnis, Pieter Abbeel
2015	A	`conf`	Multitasking: Optimal Planning for Bandit Superprocesses. UAI Dylan Hadfield-Menell, Stuart Russell
2014	A	`conf`	Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects. IROS Alex X. Lee, Sandy H. Huang, Dylan Hadfield-Menell, Eric Tzeng, Pieter Abbeel
2013	A*	`conf`	Optimization in the now: Dynamic peephole optimization for hierarchical planning. ICRA Dylan Hadfield-Menell, Leslie Pack Kaelbling, Tomás Lozano-Pérez