Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning F Kondrup*, T Jiralerspong*, E Lau*, N de Lara, J Shkrob, MD Tran, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 15696 …, 2023 | 27 | 2023 |
Policy gradients incorporating the future D Venuto, E Lau, D Precup, O Nachum ICLR 2022, 2021 | 14 | 2021 |
An Empirical Study of the Effectiveness of Using a Replay Buffer on Mode Discovery in GFlowNets N Vemgal, E Lau, D Precup ICML 2023 workshop on Structured Probabilistic Inference & Generative Modeling, 2023 | 9 | 2023 |
QGFN: Controllable greediness with action values E Lau, SZ Lu, L Pan, D Precup, E Bengio NeurIPS 2024, 2024 | 8 | 2024 |
DGFN: Double Generative Flow Networks E Lau, N Vemgal, D Precup, E Bengio NeurIPS 2023 Workshop, 2023 | 6 | 2023 |
Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents P Kumar, E Lau, S Vijayakumar, T Trinh, SR Team, E Chang, V Robinson, ... ICLR 2025, 2025 | 2 | 2025 |
Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support S Obadinma, FK Khattak, S Wang, T Sidhom, E Lau, S Robertson, J Niu, ... EMNLP 2022 Industry Track, 2023 | 1 | 2023 |
NVIDIA: Heuristic-Systematic Decision Making model for User Feedback Based on User Behavior and System Telemetry N Chorakhalikar, E Lau, B Todur, A Arunachalam US Patent App. 17/875,063, 2022 | 1* | 2022 |
Abstractive Summarization using Longformer-PEGASUS A Jeeson-Daniel, C Lin, MQAI Institute, E Lau | | |