| Predictive information accelerates learning in rl KH Lee, I Fischer, A Liu, Y Guo, H Lee, J Canny, S Guadarrama Advances in Neural Information Processing Systems 33, 11890-11901, 2020 | 81 | 2020 |
| Towards hybrid human-AI workflows for unknown unknown detection A Liu, S Guerra, I Fung, G Matute, E Kamar, W Lasecki Proceedings of The Web Conference 2020, 2432-2442, 2020 | 29 | 2020 |
| Learning parameterized task structure for generalization to unseen entities A Liu, S Sohn, M Qazwini, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7534-7541, 2022 | 5 | 2022 |
| A picture is worth a thousand words: Language models plan from pixels AZ Liu, L Logeswaran, S Sohn, H Lee arXiv preprint arXiv:2303.09031, 2023 | 3 | 2023 |
| Yesterday's Reward is Today's Punishment: Contrast Effects in Human Feedback to Reinforcement Learning Agents D Ramesh, AZ Liu, AJ Echeverria, JY Song, NR Waytowich, WS Lasecki Proceedings of the 19th international conference on autonomous agents and …, 2020 | 3 | 2020 |
| Code Models are Zero-shot Precondition Reasoners L Logeswaran, S Sohn, Y Lyu, AZ Liu, DK Kim, D Shim, M Lee, H Lee arXiv preprint arXiv:2311.09601, 2023 | 1 | 2023 |
| TOD-Flow: Modeling the Structure of Task-Oriented Dialogues S Sohn, Y Lyu, A Liu, L Logeswaran, DK Kim, D Shim, H Lee arXiv preprint arXiv:2312.04668, 2023 | | 2023 |
| Reasoning about Action Preconditions with Programs L Logeswaran, S Sohn, Y Lyu, A Liu, DK Kim, D Shim, M Lee, H Lee NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | | 2023 |
| Learning Higher Order Skills that Efficiently Compose AZ Liu, DK Kim, S Sohn, H Lee ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | | 2023 |
| Data-Efficient Group Robustness via Out of Distribution Concepts Y Yang, AZ Liu, R Wolfe, A Caliskan, B Howe | | 2023 |
