Rachel Freedman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Individual Preferences

Erroneous Examples

Reinforcement Learning

Top Venues

Publications

Vincent Conitzer, Rachel Freedman, Jobst Heitzig, Wesley H. Holliday, Bob M. Jacobs, Nathan Lambert, Milan Mossé, Eric Pacuit, Stuart Russell, Hailey Schoelkopf, Emanuel Tewolde, William S. Zwicker
Social Choice for AI Alignment: Dealing with Diverse Human Feedback. CoRR (2024)
Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
Active Reward Learning from Multiple Teachers. SafeAI@AAAI (2023)
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
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023)
Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell
Active teacher selection for reinforcement learning from human feedback. CoRR (2023)
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
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR (2023)
Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
Active Reward Learning from Multiple Teachers. CoRR (2023)
Oliver Daniels-Koch, Rachel Freedman
The Expertise Problem: Learning from Specialized Feedback. CoRR (2022)
Rachel Freedman, Rohin Shah, Anca D. Dragan
Choice Set Misspecification in Reward Inference. CoRR (2021)
Rachel Freedman
Aligning with Heterogeneous Preferences for Kidney Exchange. CoRR (2020)
Rachel Freedman
Aligning with Heterogenous Preferences for Kidney Exchange. AISafety@IJCAI (2020)
Rachel Freedman, Rohin Shah, Anca D. Dragan
Choice Set Misspecification in Reward Inference. AISafety@IJCAI (2020)
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
Adapting a Kidney Exchange Algorithm to Align with Human Values. CoRR (2020)
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
Adapting a kidney exchange algorithm to align with human values. Artif. Intell. 283 (2020)
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
Adapting a Kidney Exchange Algorithm to Align with Human Values. AIES (2018)
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer
Adapting a Kidney Exchange Algorithm to Align With Human Values. AAAI (2018)