Zeyang Liu

According to our database, Zeyang Liu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

Improving Offline Reinforcement Learning With in-Sample Advantage Regularization for Robot Manipulation.

Chengzhong Ma, Deyu Yang, Tianyu Wu, Zeyang Liu, Houxue Yang, Xingyu Chen, Xuguang Lan, Nanning Zheng

IEEE Trans. Neural Networks Learn. Syst., June, 2025

MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning.

Shiguang Sun, Hanbo Zhang, Zeyang Liu, Xinrui Yang, Lipeng Wan, Bin Yan, Xingyu Chen, Xuguang Lan

CoRR, April, 2025

Offline Multi-Agent Preference-based Reinforcement Learning with Agent-aware Direct Preference Optimization.

Qian Kou, Mingyang Li, Zeyang Liu, Long Qian, Zhuoran Chen, Lipeng Wan, Xingyu Chen, Xuguang Lan

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Knowledge Graph Enhancement for Fine-Grained Zero-Shot Learning on ImageNet21K.

Xingyu Chen, Jiaxu Liu, Zeyang Liu, Lipeng Wan, Xuguang Lan, Nanning Zheng

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

Optimal bipartite graph matching-based goal selection for policy-based hindsight learning.

Shiguang Sun, Hanbo Zhang, Zeyang Liu, Xingyu Chen, Xuguang Lan

Neurocomputing, 2024

Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation.

Zhihong Liu, Long Qian, Zeyang Liu, Lipeng Wan, Xingyu Chen, Xuguang Lan

CoRR, 2024

DexDiff: Towards Extrinsic Dexterity Manipulation of Ungraspable Objects in Unrestricted Environments.

Chengzhong Ma, Houxue Yang, Hanbo Zhang, Zeyang Liu, Chao Zhao, Jian Tang, Xuguang Lan, Nanning Zheng

CoRR, 2024

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model.

Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan

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

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning.

Zeyang Liu, Lipeng Wan, Xinrui Yang, Zhuoran Chen, Xingyu Chen, Xuguang Lan

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

2023

Deep Hierarchical Communication Graph in Multi-Agent Reinforcement Learning.

Zeyang Liu, Lipeng Wan, Xue Sui, Zhuoran Chen, Kewu Sun, Xuguang Lan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning.

Lipeng Wan, Zeyang Liu, Xingyu Chen, Xuguang Lan, Nanning Zheng

Proceedings of the International Conference on Machine Learning, 2022

2021

Greedy-based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning.

Lipeng Wan, Zeyang Liu, Xingyu Chen, Han Wang, Xuguang Lan

CoRR, 2021

Multi-Agent Intention Sharing via Leader-Follower Forest.

Zeyang Liu, Lipeng Wan, Xue Sui, Kewu Sun, Xuguang Lan

CoRR, 2021

2020

An Experiment on Human-Robot Interaction in a Simulated Agricultural Task.

Zhuoling Huang, Genki Miyauchi, Adrian Salazar Gomez, Richie Bird, Amar Singh Kalsi, Chipp Jansen, Zeyang Liu, Simon Parsons, Elizabeth Sklar

Proceedings of the Towards Autonomous Robotic Systems - 21st Annual Conference, 2020

Toward Robot Co-Labourers for Intelligent Farming.

Zhuoling Huang, Genki Miyauchi, Adrian Salazar Gomez, Richie Bird, Amar Singh Kalsi, Chipp Jansen, Zeyang Liu, Simon Parsons, Elizabeth Sklar

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020