Runsheng Yu

According to our database, Runsheng Yu authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games.

Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Enhancing Meta Learning via Multi-Objective Soft Improvement Functions.

Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Constraint-aware Policy Optimization to Solve the Vehicle Routing Problem with Time Windows.

Renchi Zhang, Runsheng Yu, Wei Xia

Inf. Technol. Control., 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions.

Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Regret-Matching for Distributed Constraint Optimization Problems.

Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication.

Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning.

Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach.

Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Expensive Coordination: An Event-Based Deep RL Approach.

Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.

Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An

CoRR, 2019

2018

In silico design of MHC class I high binding affinity peptides through motifs activation map.

Zhoujian Xiao, Yuwei Zhang, Runsheng Yu, Yin Chen, Xiaosen Jiang, Ziwei Wang, Shuaicheng Li

BMC Bioinform., 2018

DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning.

Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, Bo Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Unsupervised Learning aids Prediction: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction.

Runsheng Yu, Zhenyu Shi, Laiyun Qing

CoRR, 2017