| Learning correlated communication topology in multi-agent reinforcement learning Y Du, B Liu, V Moens, Z Liu, Z Ren, J Wang, X Chen, H Zhang Proceedings of the 20th International Conference on Autonomous Agents and …, 2021 | 59 | 2021 |
| Samba: Safe model-based & active reinforcement learning AI Cowen-Rivers, D Palenicek, V Moens, MA Abdullah, A Sootla, J Wang, ... Machine Learning 111 (1), 173-203, 2022 | 41 | 2022 |
| Cacti: A framework for scalable multi-task multi-scene visual imitation learning Z Mandi, H Bharadhwaj, V Moens, S Song, A Rajeswaran, V Kumar arXiv preprint arXiv:2212.05711, 2022 | 36 | 2022 |
| Learning and forgetting using reinforced Bayesian change detection V Moens, A Zénon PLoS computational biology 15 (4), e1006713, 2019 | 27 | 2019 |
| TorchRL: A data-driven decision-making library for PyTorch A Bou, M Bettini, S Dittert, V Kumar, S Sodhani, X Yang, G De Fabritiis, ... arXiv preprint arXiv:2306.00577, 2023 | 12 | 2023 |
| Robohive: A unified framework for robot learning V Kumar, R Shah, G Zhou, V Moens, V Caggiano, A Gupta, A Rajeswaran Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Efficient semi-implicit variational inference V Moens, H Ren, A Maraval, R Tutunov, J Wang, H Ammar arXiv preprint arXiv:2101.06070, 2021 | 8 | 2021 |
| Recurrent Auto-Encoding Drift Diffusion Model V Moens, Z Alexandre | 4* | 2020 |
| The hierarchical adaptive forgetting variational filter V Moens International Conference on Machine Learning, 3606-3615, 2018 | 4 | 2018 |
| Benchmarl: Benchmarking multi-agent reinforcement learning M Bettini, A Prorok, V Moens arXiv preprint arXiv:2312.01472, 2023 | 3 | 2023 |
| Hierarchical Adaptive Forgetting Variational Filtering V Moens In prep., 2018 | 3 | 2018 |
| Variational Treatment of Trial-by-Trial Drift-Diffusion Models of Behaviour V Moens, A Zenon BioRxiv, 220517, 2017 | 2 | 2017 |
| Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows V Moens, A Sootla, HB Ammar, J Wang arXiv preprint arXiv:2107.02474, 2021 | 1 | 2021 |
| BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO S Dittert, V Moens, G De Fabritiis arXiv preprint arXiv:2406.17490, 2024 | | 2024 |
| ACEGEN: Reinforcement learning of generative chemical agents for drug discovery A Bou, M Thomas, S Dittert, CN Ramírez, M Majewski, Y Wang, S Patel, ... arXiv preprint arXiv:2405.04657, 2024 | | 2024 |
| Apparatus and method for training parametric policy V Moens, H Van Assel, HBOU AMMAR US Patent App. 18/364,601, 2023 | | 2023 |
| Implicit Variational Conditional Sampling with Normalizing Flows. V Moens, A Sootla, H Bou-Ammar, J Wang CoRR, 2021 | | 2021 |
| $\P $ ILCRO: Making Importance Landscapes Flat Again V Moens, S Yu, G Salimi-Khorshidi arXiv preprint arXiv:2001.09696, 2020 | | 2020 |
| Learning and making decisions in changing environments with Variational Inference V Moens UCL-Université Catholique de Louvain, 2018 | | 2018 |
| Variational Treatment of Trial-by-Trial Drift-Diffusion Models of Behaviour M Vincent, Z Alexandre bioRxiv, 220517, 2017 | | 2017 |
