Complementary Attention for Multi-Agent Reinforcement Learning. - Jianzhun Shao; Hongchang Zhang; Yun Qu 002; Chang Liu 030; Shuncheng He; Yuhang Jiang; Xiangyang Ji (ICML, 2023)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Yang Feng; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (NeurIPS, 2023)

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. - Jianzhun Shao; Yun Qu 002; Chen Chen; Hongchang Zhang; Xiangyang Ji (NeurIPS, 2023)

LLM-Empowered State Representation for Reinforcement Learning. - Boyuan Wang; Yun Qu 002; Yuhang Jiang; Jianzhun Shao; Chang Liu 030; Wenming Yang; Xiangyang Ji (ICML, 2024)

Doubly Mild Generalization for Offline Reinforcement Learning. - Yixiu Mao; Qi Wang; Yun Qu 002; Yuhang Jiang; Xiangyang Ji (NeurIPS, 2024)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression. - Yixiu Mao; Qi Wang; Chen Chen; Yun Qu 002; Xiangyang Ji (NeurIPS, 2024)

A novel memetic algorithm for distributed shape formation of swarm robots with both acceleration and velocity constraints. - Yun Qu 002; Bin Xin 002; Qinqin Wang; Ruocheng Li; Zhaofeng Du (Sci. China Inf. Sci., 2024)

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. - Cheems Wang; Yiqin Lv; Yixiu Mao; Yun Qu 002; Yi Xu 008; Xiangyang Ji (CoRR, 2024)

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. - Yun Qu 002; Boyuan Wang; Jianzhun Shao; Yuhang Jiang; Chen Chen; Zhenbin Ye; Lin Liu; Junfeng Yang; Lin Lai; Hongyang Qin; Minwen Deng; Juchao Zhuo; et al. (CoRR, 2024)

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. - Yun Qu 002; Boyuan Wang; Yuhang Jiang; Jianzhun Shao; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (CoRR, 2024)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. - Yun Qu 002; Yuhang Jiang; Boyuan Wang; Yixiu Mao; Cheems Wang; Chang Liu 030; Xiangyang Ji (AAAI, 2025)

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. - Qi (Cheems) Wang; Yiqin Lv; Yixiu Mao; Yun Qu 002; Yi Xu 008; Xiangyang Ji (KDD (1), 2025)

Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay. - Qi Cheems Wang; Zehao Xiao; Yixiu Mao; Yun Qu 002; Jiayi Shen; Yiqin Lv; Xiangyang Ji (CoRR, 2025)

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments. - Yun Qu 002; Qi Wang; Yixiu Mao; Yiqin Lv; Xiangyang Ji (CoRR, 2025)

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? - Yun Qu 002; Qi Wang; Yixiu Mao; Vincent Tao Hu; Björn Ommer; Xiangyang Ji (CoRR, 2025)