| Variational Recurrent Models for Solving Partially Observable Control Tasks D Han, K Doya, J Tani arXiv preprint arXiv:1912.10703, 2019 | 72 | 2019 |
| Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks D Han, K Doya, J Tani Neural Networks 129, 149-162, 2020 | 22 | 2020 |
| Goal-Directed Planning by Reinforcement Learning and Active Inference D Han, K Doya, J Tani arXiv preprint arXiv:2106.09938, 2021 | 8 | 2021 |
| Variational oracle guiding for reinforcement learning D Han, T Kozuno, X Luo, ZY Chen, K Doya, Y Yang, D Li International Conference on Learning Representations (ICLR 2022), 2022 | 6 | 2022 |
| Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks D Han, E De Schutter, S Hong Advances in Neural Information Processing Systems 33, 2020 | 4 | 2020 |
| In situ relative self-dependent calibration of electron cyclotron emission imaging via shape matching D Han, J Xie, A Hussain, B Gao, C Qu, W Liao, X Xu, F Gao, H Li, T Lan, ... Review of Scientific Instruments 89 (10), 2018 | 4 | 2018 |
| Toward Open-ended Embodied Tasks Solving W Wang, D Han, X Luo, Y Shen, C Ling, B Wang, D Li Second Agent Learning in Open-Endedness Workshop, NeurIPS, 2023 | 3 | 2023 |
| Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning T Kozuno, D Han, K Doya arXiv preprint arXiv:1906.07586, 2019 | 3 | 2019 |
| Addressing Signal Delay in Deep Reinforcement Learning W Wang, D Han, X Luo, D Li The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| Understanding Training-free Diffusion Guidance: Mechanisms and Limitations Y Shen, X Jiang, Y Wang, Y Yang, D Han, D Li arXiv preprint arXiv:2403.12404, 2024 | 1 | 2024 |
| Efficient and Effective Time-Series Forecasting with Spiking Neural Networks C Lv, Y Wang, D Han, X Zheng, X Huang, D Li arXiv preprint arXiv:2402.01533, 2024 | 1 | 2024 |
| Synergizing habits and goals with variational Bayes D Han, K Doya, D Li, J Tani Nature Communications 15 (1), 4461, 2024 | | 2024 |
| Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators C Lv, D Han, Y Wang, X Zheng, X Huang, D Li arXiv preprint arXiv:2405.14362, 2024 | | 2024 |
| AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine J Lian, X Luo, C Shan, D Han, V Vardhanabhuti, D Li arXiv preprint arXiv:2311.14304, 2023 | | 2023 |
| Holmex: Human-Guided Spurious Correlation Detection and Black-box Model Fixing L Tang, X Luo, D Han, Y Yang, D Li | | 2023 |
| Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network Y Zhou, D Han, Y Yu arXiv preprint arXiv:2310.06578, 2023 | | 2023 |
| CircuitNet: a generic neural network to realize universal circuit motif modeling Y Wang, X Jiang, K Ren, C Shan, X Luo, D Han, K Song, Y Shen, D Li International Conference on Machine Learning, 35817-35835, 2023 | | 2023 |
| Learning Memory-Dependent Continuous Control from Demonstrations S Hou, D Han, J Tani arXiv preprint arXiv:2102.09208, 2021 | | 2021 |
| Improving exploration in reinforcement learning with temporally correlated stochasticity D Han The Proceedings of the 28th Annual Conference of the Japanese Neural Network …, 2018 | | 2018 |
Kenji DoyaOkinawa Institute of Science and Technology在 oist.jp 的电子邮件经过验证
