| Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics J Ackermann, V Gabler, T Osa, M Sugiyama Deep Reinforcement Learning Workshop at NeurIPS 2019, 2019 | 115 | 2019 |
| High-Resolution Image Editing via Multi-Stage Blended Diffusion J Ackermann, M Li Machine Learning for Creativity and Design Workshop at NeurIPS 2022, 2022 | 12 | 2022 |
| Unsupervised Task Clustering for Multi-Task Reinforcement Learning J Ackermann, O Richter, R Wattenhofer ECML-PKDD 2021 (Joint European Conference on Machine Learning and Knowledge …, 2021 | 6 | 2021 |
| Offline Reinforcement Learning from Datasets with Structured Non-Stationarity J Ackermann, T Osa, M Sugiyama Reinforcement Learning Conference (RLC) 2024, 2024 | | 2024 |
| Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains S Nishimori, XQ Cai, J Ackermann, M Sugiyama arXiv preprint arXiv:2404.07465, 2024 | | 2024 |
| Convolutional Neural Network Based Blind Estimation of Generalized Mutual Information for Optical Communication J Ackermann, M Schaedler, C Bluemm 46th European Conference on Optical Communication (ECOC 2020), 2020 | | 2020 |
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyo在 k.u-tokyo.ac.jp 的电子邮件经过验证
