| Deep Reinforcement Learning with Swin Transformers L Meng, M Goodwin, A Yazidi, P Engelstad International Conference on Digital Signal Processing, 2024, 2022 | 3 | 2022 |
| Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise L Meng, M Goodwin, A Yazidi, P Engelstad IEEE Transactions on Games, 2022, 2022 | 3* | 2022 |
| Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples L Meng, A Yazidi, M Goodwin, P Engelstad Proceedings of the Northern Lights Deep Learning Workshop, 2022, 2021 | 2 | 2021 |
| State Representation Learning Using an Unbalanced Atlas L Meng, M Goodwin, A Yazidi, P Engelstad ICLR, 2024, 2023 | 1 | 2023 |
| A Manifold Representation of the Key in Vision Transformers L Meng, M Goodwin, A Yazidi, P Engelstad arXiv preprint arXiv:2402.00534, 2024 | | 2024 |
| Unsupervised State Representation Learning in Partially Observable Atari Games L Meng, M Goodwin, A Yazidi, P Engelstad International Conference on Computer Analysis of Images and Patterns, 2023 …, 2023 | | 2023 |
Anis YazidiProfessor, AI Lab, Oslo Metropolitan UniversityVerified email at oslomet.no
