Yu, Runsheng

12 publications

ICML 2024 Improving Sharpness-Aware Minimization by Lookahead Runsheng Yu, Youzhi Zhang, James Kwok

AAAI 2024 Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An

ICLR 2023 Enhancing Meta Learning via Multi-Objective Soft Improvement Functions Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok

CVPR 2022 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

AAAI 2022 Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang

IJCAI 2021 Neural Regret-Matching for Distributed Constraint Optimization Problems Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An

AAAI 2021 Personalized Adaptive Meta Learning for Cold-Start User Preference Prediction Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

NeurIPS 2021 RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

IJCAI 2020 I²HRL: Interactive Influence-Based Hierarchical Reinforcement Learning Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich

ICML 2020 Learning Efficient Multi-Agent Communication: An Information Bottleneck Approach Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich

ICLR 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An

NeurIPS 2018 DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, Bo Zhang