| Randomized exploration in reinforcement learning with general value function approximation H Ishfaq, Q Cui, V Nguyen, A Ayoub, Z Yang, Z Wang, D Precup, L Yang International Conference on Machine Learning, 4607-4616, 2021 | 45 | 2021 |
| Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity V Balazadeh, K Chidambaram, V Nguyen, RG Krishnan, V Syrgkanis arXiv preprint arXiv:2404.07266, 2024 | | 2024 |
| Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity VB Meresht, K Chidambaram, V Nguyen, RG Krishnan, V Syrgkanis CoRR, 2024 | | 2024 |
| Noisy Hierarchical Reinforcement Learning V Nguyen McGill University (Canada), 2023 | | 2023 |
| FADER NETWORKS: A HEURISTIC APPROACH MC Zelaya, M Leech, V Nguyen | | 2020 |
| On the concentration of measure in Orlicz spaces of exponential type V Nguyen | | 2020 |
| On the Analysis of Stochastic Gradient Descent in Neural Networks via Gradient Flows V Nguyen | | 2020 |
| Provable Efficiency: Finding Regret Bounds in Reinforcement Learning E Hu, V Nguyen | | |
| Value Iteration-based Provably Efficient Exploration V Nguyen, E Hu | | |
| Neural Networks-A Continuum of Potential E Hu, J Huang, V Nguyen | | |
| Randomized Least Squares Policy Optimization H Ishfaq, Z Yang, A Lupu, V Nguyen, L Liu, R Islam, Z Wang, D Precup | | |
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
