A Hypergradient Approach to Robust Regression without Correspondence. - Yujia Xie; Yixiu Mao; Simiao Zuo; Hongteng Xu; Xiaojing Ye; Tuo Zhao; Hongyuan Zha (ICLR, 2021)

In-sample Actor Critic for Offline Reinforcement Learning. - Hongchang Zhang; Yixiu Mao; Boyuan Wang; Shuncheng He; Yi Xu 008; Xiangyang Ji (ICLR, 2023)

Supported Trust Region Optimization for Offline Reinforcement Learning. - Yixiu Mao; Hongchang Zhang; Chen Chen; Yi Xu 008; Xiangyang Ji (ICML, 2023)

Supported Value Regularization for Offline Reinforcement Learning. - Yixiu Mao; Hongchang Zhang; Chen Chen; Yi Xu 008; Xiangyang Ji (NeurIPS, 2023)

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)

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)

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)