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Research Outputs

  1. 2022
  2. Beeckmans, L ; De Craene, V ; Kenis, A. / Zorgen voor de universiteit van morgen? Naar een zorgende stad. De stad beter na corona? Reflecties over een gezondere en meer rechtvaardige stad.. editor / L Beeckmans ; S Oosterlynck ; E Corijn. Brussel : ASP | VUBPRESS | UPA, 2022. pp. 239-250
  3. Kazantzidis, Ilias ; Du, Yali ; Freeman, Christopher et al. / How to train your agent: Active Learning from Human Preferences and Justifications in Safety-critical Environments. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). 2022.
  4. 2021
  5. Duanmu, Yangyang ; Wang, Ling ; Zhang, Yong et al. / 骨密度测量的准确度和精密度评价. In: Chinese Journal of Radiology (China). 2021 ; Vol. 55, No. 4. pp. 359-364.
  6. Luo, Yu ; Stephens, David A. ; Graham, Daniel J. et al. / Bayesian doubly robust causal inference via loss functions. 2021.
  7. Du, Yali ; Yan, Xue ; Chen, Xu et al. / Estimating alpha -Rank from A Few Entries with Low Rank Matrix Completion. International Conference on Machine Learning (ICML). 2021. pp. 2870-2879
  8. Du, Yali ; Liu, Bo ; Moens, Vincent et al. / Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). 2021. pp. 456-464
  9. Mguni, David ; Wu, Yutong ; Du, Yali et al. / Learning in Nonzero-Sum Stochastic Games with Potentials. International Conference on Machine Learning (ICML). 2021. pp. 7688–-7699
  10. 2020
  11. Li, Lei ; Li, Teng fei ; Dai, Jian sheng et al. / 新型可重构线对称 Goldberg 6R 机构. In: Journal of Central South University. 2020 ; Vol. 27, No. 12. pp. 3754-3767.
  12. Xu, Yunqiu ; Fang, Meng ; Chen, Ling et al. / Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. Advances in Neural Information Processing Systems (NeurIPS). 2020.
  13. 2019
  14. Blackwell, Jonathan ; Saxena, Sonia ; Alexakis, Christopher et al. / The impact of smoking and smoking cessation on disease outcomes in ulcerative colitis: a nationwide population-based study. In: Alimentary Pharmacology & Therapeutics. 2019 ; Vol. 50, No. 5. pp. 556—567.
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