Yun Qu

According to our database, Yun Qu authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression.

Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji

CoRR, 2024

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration.

Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

CoRR, 2024

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji

CoRR, 2024

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation.

Cheems Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji

CoRR, 2024

LLM-Empowered State Representation for Reinforcement Learning.

Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.

Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

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

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji

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

Complementary Attention for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the International Conference on Machine Learning, 2023