Follow
Anand Siththaranjan
Title
Cited by
Cited by
Year
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
1582023
Analyzing human models that adapt online
A Bajcsy, A Siththaranjan, CJ Tomlin, AD Dragan
2021 IEEE International Conference on Robotics and Automation (ICRA), 2754-2760, 2021
172021
Inferring neuronal ionic conductances from membrane potentials using cnns
R Ben-Shalom, J Balewski, A Siththaranjan, V Baratham, H Kyoung, ...
bioRxiv, 727974, 2019
92019
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
A Siththaranjan, C Laidlaw, D Hadfield-Menell
arXiv preprint arXiv:2312.08358, 2023
42023
On the computational consequences of cost function design in nonlinear optimal control
T Westenbroek, A Siththaranjan, M Sarwari, CJ Tomlin, S Sastry
2022 IEEE 61st Conference on Decision and Control (CDC), 7423-7430, 2022
12022
Intent Demonstration in General-Sum Dynamic Games via Iterative Linear-Quadratic Approximations
J Li, A Siththaranjan, S Sojoudi, C Tomlin, A Bajcsy
arXiv preprint arXiv:2402.10182, 2024
2024
Understanding Hidden Context in Preference Learning: Consequences for RLHF
A Siththaranjan, C Laidlaw, D Hadfield-Menell
The Twelfth International Conference on Learning Representations, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–7