Zongqing Lu

DemoFunGrasp: Universal Dexterous Functional Grasping via Demonstration-Editing Reinforcement Learning CVPR 2026 End-to-End Language-Action Model for Humanoid Whole Body Control CVPR 2026 GTR-Turbo: Merged Checkpoint is Secretly a Free Teacher for Agentic VLM Training CVPR 2026 Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild CVPR 2026 Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations AAAI 2026 OpenT2M: No-frill Motion Generation with Open-source, Large-scale, High-quality Data CVPR 2026 Spatial-Aware VLA Pretraining through Visual-Physical Alignment from Human Videos CVPR 2026 Best Possible Q-Learning UAI 2025 Cradle: Empowering Foundation Agents towards General Computer Control ICML 2025 Creative Agents: Empowering Agents with Imagination for Creative Tasks UAI 2025 Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint ICLR 2025 Cross-Embodiment Dexterous Grasping with Reinforcement Learning ICLR 2025 Discrete Latent Plans via Semantic Skill Abstractions ICLR 2025 Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping ICLR 2025 From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities ICLR 2025 GAMEBoT: Transparent Assessment of LLM Reasoning in Games ACL 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025 Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer ICLR 2025 LLM-Based Explicit Models of Opponents for Multi-Agent Games NAACL 2025 MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents ICLR 2025 MotionCtrl: A Real-time Controllable Vision-Language-Motion Model ICCV 2025 Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning ICML 2025 Scaling Large Motion Models with Million-Level Human Motions ICML 2025 Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning EMNLP 2025 Unified Multimodal Understanding via Byte-Pair Visual Encoding ICCV 2025 VideoOrion: Tokenizing Object Dynamics in Videos ICCV 2025 Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy ICLR 2025 AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation NeurIPS 2024 AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback NAACL 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Cross-Domain Policy Adaptation by Capturing Representation Mismatch ICML 2024 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 LLaMA-Rider: Spurring Large Language Models to Explore the Open World NAACL 2024 LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning EMNLP 2024 Multi-Agent Coordination via Multi-Level Communication NeurIPS 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NeurIPS 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NeurIPS 2024 Pre-trained Visual Dynamics Representations for Efficient Policy Learning ECCV 2024 Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ICLR 2024 Reinforcement Learning Friendly Vision-Language Model for Minecraft ECCV 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NeurIPS 2024 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds ICLR 2024 Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation ICML 2024 UniCode : Learning a Unified Codebook for Multimodal Large Language Models ECCV 2024 Visual Grounding for Object-Level Generalization in Reinforcement Learning ECCV 2024 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NeurIPS 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 Multi-Agent Automated Machine Learning CVPR 2023 Multi-Agent Language Learning: Symbolic Mapping ACL 2023 Mutual-Information Regularized Multi-Agent Policy Iteration NeurIPS 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo ICCV 2023 Difference Advantage Estimation for Multi-Agent Policy Gradients ICML 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NeurIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm NeurIPS 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NeurIPS 2022 Mildly Conservative Q-Learning for Offline Reinforcement Learning NeurIPS 2022 Model-Based Opponent Modeling NeurIPS 2022 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NeurIPS 2022 FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 The Emergence of Individuality ICML 2021 Generative Exploration and Exploitation AAAI 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Learning Individually Inferred Communication for Multi-Agent Cooperation NeurIPS 2020 Learning Fairness in Multi-Agent Systems NeurIPS 2019 Learning Attentional Communication for Multi-Agent Cooperation NeurIPS 2018