| 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 | 259 | 2023 |
| Inverse Constrained Reinforcement Learning S Malik, U Anwar, A Aghasi, A Ahmed International Conference on Machine Learning, 7390-7399, 2021 | 52* | 2021 |
| Reward model ensembles help mitigate overoptimization T Coste, U Anwar, R Kirk, D Krueger arXiv preprint arXiv:2310.02743, 2023 | 42 | 2023 |
| Foundational challenges in assuring alignment and safety of large language models U Anwar, A Saparov, J Rando, D Paleka, M Turpin, P Hase, ES Lubana, ... arXiv preprint arXiv:2404.09932, 2024 | 34 | 2024 |
| Bayesian methods for constraint inference in reinforcement learning D Papadimitriou, U Anwar, DS Brown | 19* | 2022 |
| Learning to solve differential equations across initial conditions S Malik, U Anwar, A Ahmed, A Aghasi arXiv preprint arXiv:2003.12159, 2020 | 9 | 2020 |
| Open problems and fundamental limitations of reinforcement learning from human feedback. CoRR, abs/2307.15217, 2023. doi: 10.48550 S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint ARXIV.2307.15217, 0 | 7 | |
| & Hadfield-Menell, D.(2023). 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, 0 | 5 | |
| Domain Generalization for Robust Model-Based Offline Reinforcement Learning A Clark, SA Siddiqui, R Kirk, U Anwar, S Chung, D Krueger arXiv preprint arXiv:2211.14827, 2022 | 1 | 2022 |
| IDs for AI Systems A Chan, N Kolt, P Wills, U Anwar, CS de Witt, N Rajkumar, L Hammond, ... arXiv preprint arXiv:2406.12137, 2024 | | 2024 |
