Qu, Yun

9 publications

NeurIPS 2025 Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning Yixiu Mao, Yun Qu, Cheems Wang, Xiangyang Ji

ICML 2025 Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji

AAAI 2025 Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

NeurIPS 2024 Doubly Mild Generalization for Offline Reinforcement Learning Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji

ICML 2024 LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

NeurIPS 2024 Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji

ICML 2023 Complementary Attention for Multi-Agent Reinforcement Learning Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

NeurIPS 2023 Counterfactual Conservative Q Learning for Offline Multi-Agent Reinforcement Learning Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

NeurIPS 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, Liu Linc, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji