Anand Siththaranjan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Linear Quadratic

Preference Learning

Reward Function

Top Venues

Publications

Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca D. Dragan
AI Alignment with Changing and Influenceable Reward Functions. CoRR (2024)
Jingqi Li, Anand Siththaranjan, Somayeh Sojoudi, Claire J. Tomlin, Andrea Bajcsy
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations. CoRR (2024)
Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF. ICLR (2024)
Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF. CoRR (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)
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)
Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, Shankar S. Sastry
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CoRR (2022)
Tyler Westenbroek, Anand Siththaranjan, Mohsin Sarwari, Claire J. Tomlin, S. Shankar Sastry
On the Computational Consequences of Cost Function Design in Nonlinear Optimal Control. CDC (2022)
Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan
Analyzing Human Models that Adapt Online. CoRR (2021)
Andrea Bajcsy, Anand Siththaranjan, Claire J. Tomlin, Anca D. Dragan
Analyzing Human Models that Adapt Online. ICRA (2021)