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Micah Carroll
Micah Carroll
PhD student, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
On the Utility of Learning About Humans for Human-AI Coordination
M Carroll, R Shah, MK Ho, T Griffiths, S Seshia, P Abbeel, A Dragan
Advances in Neural Information Processing Systems, 2019, 5174-5185, 2019
3212019
Open problems and fundamental limitations of reinforcement learning from human feedback
S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ...
arXiv preprint arXiv:2307.15217, 2023
1522023
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
M Carroll, A Dragan, S Russell, D Hadfield-Menell
International Conference on Machine Learning, 2022 (Spotlight), 2686-2708, 2022
52*2022
Harms from Increasingly Agentic Algorithmic Systems
A Chan, R Salganik, A Markelius, C Pang, N Rajkumar, D Krasheninnikov, ...
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
39*2023
Evaluating the Robustness of Collaborative Agents
P Knott, M Carroll, S Devlin, K Ciosek, K Hofmann, AD Dragan, R Shah
AAMAS 2021 (Extended Abstract), 2021
252021
Uni[MASK]: Unified inference in sequential decision problems
M Carroll, O Paradise, J Lin, R Georgescu, M Sun, D Bignell, S Milani, ...
NeurIPS 2022 (Oral), 2022
24*2022
Characterizing Manipulation from AI Systems
M Carroll*, A Chan*, H Ashton, D Krueger
EEAMO 2023, 2023
202023
Engagement, user satisfaction, and the amplification of divisive content on social media
S Milli, M Carroll, S Pandey, Y Wang, AD Dragan
Preprint at arXiv https://doi. org/10.48550/arXiv 2305, 2023
17*2023
Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
D Zhang, M Carroll, A Bobu, A Dragan
NeurIPS 2022 Human in the Loop Learning (HiLL) Workshop, 2022
42022
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration
M Yang, M Carroll, A Dragan
NeurIPS 2022 Human in the Loop Learning (HiLL) Workshop, 2022
42022
Who Needs to Know? Minimal Knowledge for Optimal Coordination
N Lauffer, A Shah, M Carroll, MD Dennis, S Russell
International Conference on Machine Learning 2023, 18599-18613, 2023
32023
Overview of current AI alignment approaches
M Carroll
32018
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Articles 1–12