Yifan Zang

According to our database, Yifan Zang authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

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

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