Execution cost optimization for hierarchical planning in the now

Dylan Hadfield-Menell
Massachusetts Institute of Technology

2013
Expressive Robot Motion Timing

Dylan Hadfield-Menell , Anca D. Dragan , Anusha Nagabandi , Allan Zhou
arXiv: Robotics

44
2018
Multitasking: efficient optimal planning for bandit superprocesses

Dylan Hadfield-Menell , Stuart Russell
uncertainty in artificial intelligence 345 -354

2015
Active Inverse Reward Design

Dylan Hadfield-Menell , Rohin Shah , Adam Gleave , Sören Mindermann
arXiv: Learning

20
2018
On the Geometry of Adversarial Examples.

Dylan Hadfield-Menell , Marc Khoury
arXiv: Learning

57
2018
An Extensible Interactive Interface for Agent Design.

Dylan Hadfield-Menell , Anca D. Dragan , James Fang , Matthew Rahtz
arXiv: Learning

1
2019
Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell , Pieter Abbeel , Anca D. Dragan , Stuart J. Russell
neural information processing systems 29 3909 -3917

548
2016
Inverse Reward Design

Dylan Hadfield-Menell , Pieter Abbeel , Anca D. Dragan , Stuart J. Russell
neural information processing systems 30 6765 -6774

312
2017
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell , Jaime F. Fisac , Anca D. Dragan , Stuart J. Russell
international conference on machine learning 3391 -3399

5
2018
Conservative Agency via Attainable Utility Preservation

Dylan Hadfield-Menell , Prasad Tadepalli , Alexander Matt Turner
national conference on artificial intelligence 385 -391

41
2020
Consequences of Misaligned AI

Dylan Hadfield-Menell , Simon Zhuang
arXiv: Artificial Intelligence

12
2021
Optimization in the now: Dynamic peephole optimization for hierarchical planning

Dylan Hadfield-Menell , Leslie Pack Kaelbling , Tomas Lozano-Perez
2013 IEEE International Conference on Robotics and Automation 4560 -4567

3
2013
Simplifying Reward Design through Divide-and-Conquer

Ellis Ratner , Dylan Hadfield-Menell , Anca Dragan
robotics science and systems 14

32
2018
Incomplete Contracting and AI Alignment

Dylan Hadfield-Menell , Gillian K. Hadfield
national conference on artificial intelligence 417 -422

4
2019
Human-AI Learning Performance in Multi-Armed Bandits

Ravi Pandya , Sandy H. Huang , Dylan Hadfield-Menell , Anca D. Dragan
national conference on artificial intelligence 369 -375

2019
Legible Normativity for AI Alignment: The Value of Silly Rules

Dylan Hadfield-Menell , Mckane Andrus , Gillian Hadfield
national conference on artificial intelligence ( 2019) 115 -121

1
2019
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
intelligent robots and systems 4402 -4407

34
2014
Modular task and motion planning in belief space

Dylan Hadfield-Menell , Edward Groshev , Rohan Chitnis , Pieter Abbeel
intelligent robots and systems 4991 -4998

47
2015
Beyond lowest-warping cost action selection in trajectory transfer

Dylan Hadfield-Menell , Alex X. Lee , Chelsea Finn , Eric Tzeng
international conference on robotics and automation 3231 -3238

6
2015
Guided search for task and motion plans using learned heuristics

Rohan Chitnis , Dylan Hadfield-Menell , Abhishek Gupta , Siddharth Srivastava
international conference on robotics and automation 447 -454

57
2016