Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Dongqi Han
Researcher
Publications
Publications by Year
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Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
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CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
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Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
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Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
2020 Neural Information Processing Systems | December 2020
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han, Kenji Doya, Jun Tani
Neural Networks | September 2020, Vol 129: pp. 149-162
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han, Kenji Doya, Jun Tani
2020 International Conference on Learning Representations | May 2020
Publications by Research Area
-
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
2020 Neural Information Processing Systems | December 2020
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han, Kenji Doya, Jun Tani
Neural Networks | September 2020, Vol 129: pp. 149-162
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han, Kenji Doya, Jun Tani
2020 International Conference on Learning Representations | May 2020
-
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Publications by Type
-
Addressing Signal Delay in Deep Reinforcement Learning
Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li
ICLR 2024 | May 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
NeurIPS 2024 | May 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance
Yifei Shen, Xinyang Jiang, Yezhen Wang, Yifan Yang, Dongqi Han, Dongsheng Li
NeurIPS 2024 | March 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
ICML 2024 | February 2024
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Kan Ren, Xinyang Jiang, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
ICML 2023 | August 2023
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li
2022 International Conference on Learning Representations | March 2022
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
2020 Neural Information Processing Systems | December 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han, Kenji Doya, Jun Tani
2020 International Conference on Learning Representations | May 2020
-
Synergizing habits and goals with variational Bayes
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Nature Communications | May 2024
Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks
Dongqi Han, Kenji Doya, Jun Tani
Neural Networks | September 2020, Vol 129: pp. 149-162