Mixed Reinforcement Learning with Additive Stochastic Uncertainty. - Yao Mu 001; Shengbo Eben Li; Chang Liu 002; Qi Sun 004; Bingbing Nie; Bo Cheng 003; Baiyu Peng (CoRR, 2020)

Model-Based Actor-Critic with Chance Constraint for Stochastic System. - Baiyu Peng; Yao Mu 001; Yang Guan; Shengbo Eben Li; Yuming Yin; Jianyu Chen (CDC, 2021)

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. - Baiyu Peng; Yao Mu 001; Jingliang Duan; Yang Guan; Shengbo Eben Li; Jianyu Chen (IV, 2021)

Model-Based Reinforcement Learning via Imagination with Derived Memory. - Yao Mu 001; Yuzheng Zhuang; Bin Wang 034; Guangxiang Zhu; Wulong Liu; Jianyu Chen; Ping Luo 002; Shengbo Li 001; Chongjie Zhang; Jianye Hao (NeurIPS, 2021)

Steadily Learn to Drive with Virtual Memory. - Yuhang Zhang; Yao Mu 001; Yujie Yang; Yang Guan; Shengbo Eben Li; Qi Sun 004; Jianyu Chen (CoRR, 2021)

Scale-Equivalent Distillation for Semi-Supervised Object Detection. - Qiushan Guo; Yao Mu 001; Jianyu Chen; Tianqi Wang; Yizhou Yu; Ping Luo 002 (CVPR, 2022)

Flow-based Recurrent Belief State Learning for POMDPs. - Xiaoyu Chen; Yao Mark Mu; Ping Luo 002; Shengbo Li 001; Jianyu Chen (ICML, 2022)

CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. - Yao Mark Mu; Shoufa Chen; Mingyu Ding; Jianyu Chen; Runjian Chen; Ping Luo 002 (ICML, 2022)

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. - Zhecheng Yuan; Guozheng Ma; Yao Mu 001; Bo Xia; Bo Yuan 003; Xueqian Wang 001; Ping Luo 002; Huazhe Xu (IJCAI, 2022)

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning. - Yao Lai; Yao Mu 001; Ping Luo 002 (NeurIPS, 2022)

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. - Yao Mu 001; Yuzheng Zhuang; Fei Ni 001; Bin Wang 034; Jianyu Chen; Jianye Hao; Ping Luo 002 (NeurIPS, 2022)

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Zhenguo Li; Ping Luo 002 (CoRR, 2022)

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. - Zeyu Gao; Yao Mu 001; Ruoyan Shen; Chen Chen 068; Yangang Ren; Jianyu Chen; Shengbo Eben Li; Ping Luo 002; Yanfeng Lu (CoRR, 2022)

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. - Yao Mu 001; Yuzheng Zhuang; Fei Ni 001; Bin Wang 034; Jianyu Chen; Jianye Hao; Ping Luo 002 (CoRR, 2022)

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. - Junjie Wang; Yao Mu 001; Dong Li 016; Qichao Zhang; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (CoRR, 2022)

EC2: Emergent Communication for Embodied Control. - Yao Mu 001; Shunyu Yao; Mingyu Ding; Ping Luo 002; Chuang Gan (CVPR, 2023)

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Yu Qiao 001; Zhenguo Li; Ping Luo 002 (ICLR, 2023)

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. - Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Jinyi Liu 002; Yingfeng Chen; Changjie Fan (ICLR, 2023)

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. - Zhixuan Liang; Yao Mu 001; Mingyu Ding; Fei Ni 001; Masayoshi Tomizuka; Ping Luo 002 (ICML, 2023)

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. - Fei Ni 001; Jianye Hao; Yao Mu 001; Yifu Yuan; Yan Zheng 002; Bin Wang 034; Zhixuan Liang (ICML, 2023)

Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. - Yao Mu 001; Zhiqian Lan; Chen Chen 068; Chang Liu 002; Ping Luo 002; Shengbo Eben Li (ITSC, 2023)

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. - Yao Mu 001; Qinglong Zhang; Mengkang Hu; Wenhai Wang; Mingyu Ding; Jun Jin; Bin Wang 034; Jifeng Dai; Yu Qiao 001; Ping Luo 002 (NeurIPS, 2023)

EC^2: Emergent Communication for Embodied Control. - Yao Mu 001; Shunyu Yao; Mingyu Ding; Ping Luo 002; Chuang Gan (CoRR, 2023)

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving. - Hao Sha; Yao Mu 001; Yuxuan Jiang 011; Li Chen 008; Chenfeng Xu; Ping Luo 002; Shengbo Eben Li; Masayoshi Tomizuka; Wei Zhan; Mingyu Ding (CoRR, 2023)

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. - Zhixuan Liang; Yao Mu 001; Hengbo Ma; Masayoshi Tomizuka; Mingyu Ding; Ping Luo 002 (CVPR, 2024)

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Tangjie Lv; Changjie Fan; Zhipeng Hu (ICLR, 2024)

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. - Mengkang Hu; Yao Mu 001; Xinmiao Yu; Mingyu Ding; Shiguang Wu 004; Wenqi Shao; Qiguang Chen; Bin Wang 034; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

SEPT: Towards Efficient Scene Representation Learning for Motion Prediction. - Zhiqian Lan; Yuxuan Jiang 011; Yao Mu 001; Chen Chen 068; Shengbo Eben Li (ICLR, 2024)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

Feasible Reachable Policy Iteration. - Shentao Qin; Yujie Yang; Yao Mu 001; Jie Li 042; Wenjun Zou; Jingliang Duan; Shengbo Eben Li (ICML, 2024)

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. - Pengying Wu; Yao Mu 001; Bingxian Wu; Yi Hou; Ji Ma; Shanghang Zhang; Chang Liu 002 (ICML, 2024)

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment. - Yuwei Zeng; Yao Mu 001; Lin Shao 002 (ICML, 2024)

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions. - Guangyan Chen; Meiling Wang 002; Te Cui; Yao Mu 001; Haoyang Lu; Tianxing Zhou; Zicai Peng; Mengxiao Hu; Haizhou Li 004; Li Yuan; Yi Yang 009; Yufeng Yue (NeurIPS, 2024)

Human-oriented Representation Learning for Robotic Manipulation. - Mingxiao Huo; Mingyu Ding; Chenfeng Xu; Thomas Tian; Xinghao Zhu; Yao Mu 001; Lingfeng Sun; Masayoshi Tomizuka; Wei Zhan (Robotics: Science and Systems, 2024)

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. - Junting Chen; Yao Mu 001; Qiaojun Yu; Tianming Wei; Silang Wu; Zhecheng Yuan; Zhixuan Liang; Chao Yang 026; Kaipeng Zhang; Wenqi Shao; Yu Qiao 001; Huazhe Xu; et al. (CoRR, 2024)

ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics. - Qiaojun Yu; Ce Hao; Junbo Wang 004; Wenhai Liu; Liu Liu 012; Yao Mu 001; Yang You 004; Hengxu Yan; Cewu Lu (CoRR, 2024)

DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning. - Zeyu Gao; Yao Mu 001; Jinye Qu; Mengkang Hu; Lingyue Guo; Ping Luo 002; Yanfeng Lu (CoRR, 2024)

CAMON: Cooperative Agents for Multi-Object Navigation with LLM-based Conversations. - Pengying Wu; Yao Mu 001; Kangjie Zhou; Ji Ma; Junting Chen; Chang Liu 002 (CoRR, 2024)

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model. - Mengkang Hu; Tianxing Chen; Qiguang Chen; Yao Mu 001; Wenqi Shao; Ping Luo 002 (CoRR, 2024)

Cog-GA: A Large Language Models-based Generative Agent for Vision-Language Navigation in Continuous Environments. - Zhiyuan Li; Yanfeng Lu; Yao Mu 001; Hong Qiao (CoRR, 2024)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version). - Yao Mu 001; Tianxing Chen; Shijia Peng; Zanxin Chen; Zeyu Gao; Yude Zou; Lunkai Lin; Zhiqiang Xie; Ping Luo 002 (CoRR, 2024)

Articulated Object Manipulation using Online Axis Estimation with SAM2-Based Tracking. - Xi Wang; Tianxing Chen; Qiaojun Yu; Tianling Xu; Zanxin Chen; Yiting Fu; Cewu Lu; Yao Mu 001; Ping Luo 002 (CoRR, 2024)

VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions. - Guanyan Chen; Meiling Wang 002; Te Cui; Yao Mu 001; Haoyang Lu; Tianxing Zhou; Zicai Peng; Mengxiao Hu; Haizhou Li 004; Yuan Li; Yi Yang 009; Yufeng Yue (CoRR, 2024)

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents. - Junting Chen; Checheng Yu; Xunzhe Zhou; Tianqi Xu; Yao Mu 001; Mengkang Hu; Wenqi Shao; Yikai Wang; Guohao Li 013; Lin Shao 002 (CoRR, 2024)

Autoregressive Models in Vision: A Survey. - Jing Xiong; Gongye Liu; Lun Huang; Chengyue Wu; Taiqiang Wu; Yao Mu 001; Yuan Yao; Hui Shen; Zhongwei Wan; Jinfa Huang; Chaofan Tao; Shen Yan; et al. (CoRR, 2024)

G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation. - Tianxing Chen; Yao Mu 001; Zhixuan Liang; Zanxin Chen; Shijia Peng; Qiangyu Chen; Mingkun Xu; Ruizhen Hu; Hongyuan Zhang 001; Xuelong Li 001; Ping Luo 002 (CoRR, 2024)

DexDiffuser: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation. - Zhixuan Liang; Yao Mu 001; Yixiao Wang; Fei Ni 001; Tianxing Chen; Wenqi Shao; Wei Zhan; Masayoshi Tomizuka; Ping Luo 002; Mingyu Ding (CoRR, 2024)

M3PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model. - Kehan Wen; Yutong Hu 006; Yao Mu 001; Lei Ke (CoRR, 2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models. - Zhiyuan Zhou; Heye Huang; Boqi Li 001; Shiyue Zhao; Yao Mu 001; Jian-Qiang Wang 003 (CoRR, 2024)

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. - Baiyu Peng; Jingliang Duan; Jianyu Chen; Shengbo Eben Li; Genjin Xie; Congsheng Zhang; Yang Guan; Yao Mu 001; Enxin Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. - Ji Ma; Hongming Dai; Yao Mu 001; Pengying Wu; Hao Wang; Xiaowei Chi; Yang Fei; Shanghang Zhang; Chang Liu 002 (IEEE Robotics Autom. Lett., 2024)

Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Yao Mu 001; Dong Li 016; Dongbin Zhao; Yuzheng Zhuang; Ping Luo 002; Bin Wang 034; Jianye Hao (IEEE Trans. Ind. Informatics, 2024)

Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model. - Zeyu Gao; Yao Mu 001; Chen Chen 068; Jingliang Duan; Ping Luo 002; Yanfeng Lu; Shengbo Eben Li (IEEE Trans. Intell. Transp. Syst., 2024)