Micah Carroll

According to our database, Micah Carroll authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony 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

CoRR, 2023

Twitter's Algorithm: Amplifying Anger, Animosity, and Affective Polarization.

Smitha Milli, Micah Carroll, Sashrika Pandey, Yike Wang, Anca D. Dragan

CoRR, 2023

Who Needs to Know? Minimal Knowledge for Optimal Coordination.

Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D. Dennis, Stuart Russell

Proceedings of the International Conference on Machine Learning, 2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Characterizing Manipulation from AI Systems.

Micah Carroll, Alan Chan, Henry Ashton, David Krueger

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

Time-Efficient Reward Learning via Visually Assisted Cluster Ranking.

David Zhang, Micah Carroll, Andreea Bobu, Anca D. Dragan

CoRR, 2022

UniMASK: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration.

Mesut Yang, Micah Carroll, Anca D. Dragan

CoRR, 2022

Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers.

Micah Carroll, Jessy Lin, Orr Paradise, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

CoRR, 2022

Uni[MASK]: Unified Inference in Sequential Decision Problems.

Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, David Bignell, Stephanie Milani, Katja Hofmann, Matthew J. Hausknecht, Anca D. Dragan, Sam Devlin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Estimating and Penalizing Induced Preference Shifts in Recommender Systems.

Micah D. Carroll, Anca D. Dragan, Stuart Russell, Dylan Hadfield-Menell

Proceedings of the International Conference on Machine Learning, 2022

2021

Estimating and Penalizing Preference Shift in Recommender Systems.

Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Evaluating the Robustness of Collaborative Agents.

Paul Knott, Micah Carroll, Sam Devlin, Kamil Ciosek, Katja Hofmann, Anca D. Dragan, Rohin Shah

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

On the Utility of Learning about Humans for Human-AI Coordination.

Micah Carroll, Rohin Shah, Mark K. Ho, Tom Griffiths, Sanjit A. Seshia, Pieter Abbeel, Anca D. Dragan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019