Yun Qu

According to our database, Yun Qu authored at least 15 papers between 2023 and 2025.

Collaborative distances:

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

2025

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji

CoRR, July, 2025

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments.

Yun Qu, Qi Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji

CoRR, April, 2025

Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay.

Qi Cheems Wang, Zehao Xiao, Yixiu Mao, Yun Qu, Jiayi Shen, Yiqin Lv, Xiangyang Ji

CoRR, January, 2025

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation.

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

A novel memetic algorithm for distributed shape formation of swarm robots with both acceleration and velocity constraints.

Yun Qu, Bin Xin, Qinqin Wang, Ruocheng Li, Zhaofeng Du

Sci. China Inf. Sci., 2024

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

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

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

Doubly Mild Generalization for Offline Reinforcement Learning.

Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji

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