Shuo Wang

According to our database, Shuo Wang authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient.

Xiaoyang Yu, Youfang Lin, Shuo Wang, Sheng Han

CoRR, July, 2025

Off-Policy Conservative Distributional Reinforcement Learning With Safety Constraints.

Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv

IEEE Trans. Syst. Man Cybern. Syst., March, 2025

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness.

Shoucheng Song, Youfang Lin, Sheng Han, Chang Yao, Hao Wu, Shuo Wang, Kai Lv

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification.

Kai Lv, Yunlong Li, Zhuo Chen, Shuo Wang, Sheng Han, Youfang Lin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Building Category Graphs Representation with Spatial and Temporal Attention for Visual Navigation.

Xiaobo Hu, Youfang Lin, Hehe Fan, Shuo Wang, Zhihao Wu, Kai Lv

ACM Trans. Multim. Comput. Commun. Appl., July, 2024

Agent-Centric Relation Graph for Object Visual Navigation.

Xiaobo Hu, Youfang Lin, Shuo Wang, Zhihao Wu, Kai Lv

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space.

Xiaoyang Yu, Youfang Lin, Shuo Wang, Kai Lv, Sheng Han

CoRR, 2024

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting.

Yuxin Jia, Youfang Lin, Jing Yu, Shuo Wang, Tianhao Liu, Huaiyu Wan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective.

Shuo Wang, Zhihao Wu, Jinwen Wang, Xiaobo Hu, Youfang Lin, Kai Lv

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction.

Shuo Wang, Zhihao Wu, Xiaobo Hu, Jinwen Wang, Youfang Lin, Kai Lv

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

2023

Spatially-Regularized Features for Vehicle Re-Identification: An Explanation of Where Deep Models Should Focus.

Kai Lv, Shuo Wang, Shuai Han, Youfang Lin

IEEE Trans. Intell. Transp. Syst., December, 2023

Skill-Based Hierarchical Reinforcement Learning for Target Visual Navigation.

Shuo Wang, Zhihao Wu, Xiaobo Hu, Youfang Lin, Kai Lv

IEEE Trans. Multim., 2023

A Reliable Representation with Bidirectional Transition Model for Visual Reinforcement Learning Generalization.

Xiaobo Hu, Youfang Lin, Yue Liu, Jinwen Wang, Shuo Wang, Hehe Fan, Kai Lv

CoRR, 2023

2022

Conservative Distributional Reinforcement Learning with Safety Constraints.

Hengrui Zhang, Youfang Lin, Sheng Han, Shuo Wang, Kai Lv

CoRR, 2022