Yifan Zang

According to our database, Yifan Zang authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

CoRR, July, 2025

Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Deep Multitask Multiagent Reinforcement Learning With Knowledge Transfer.

Yuxiang Mai, Yifan Zang, Qiyue Yin, Wancheng Ni, Kaiqi Huang

IEEE Trans. Games, September, 2024

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction.

Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing

IEEE Trans. Artif. Intell., February, 2024

Opponent Modeling with In-context Search.

Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

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

Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

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

Towards Offline Opponent Modeling with In-context Learning.

Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning.

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang, Yifan Zang, Jian Cheng

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

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

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

2023

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing.

Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

CoRR, 2023

Filtered Observations for Model-Based Multi-agent Reinforcement Learning.

Linghui Meng, Xuantang Xiong, Yifan Zang, Xi Zhang, Guoqi Li, Dengpeng Xing, Bo Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequential Cooperative Multi-Agent Reinforcement Learning.

Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

L2E: Learning to Exploit Your Opponent.

Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing

Proceedings of the International Joint Conference on Neural Networks, 2022

Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments.

Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2020

Potential Driven Reinforcement Learning for Hard Exploration Tasks.

Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing

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