Zongqing Lu

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations AAAI 2026 Watch Less, Do More: Implicit Skill Discovery for Video-Conditioned Policy ICLR 2025 MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents 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 Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping ICLR 2025 Best Possible Q-Learning UAI 2025 Creative Agents: Empowering Agents with Imagination for Creative Tasks UAI 2025 LLM-Based Explicit Models of Opponents for Multi-Agent Games NAACL 2025 Scaling Large Motion Models with Million-Level Human Motions ICML 2025 Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning EMNLP 2025 VideoOrion: Tokenizing Object Dynamics in Videos ICCV 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025 Unified Multimodal Understanding via Byte-Pair Visual Encoding ICCV 2025 MotionCtrl: A Real-time Controllable Vision-Language-Motion Model ICCV 2025 Cradle: Empowering Foundation Agents towards General Computer Control ICML 2025 Revisiting Cooperative Off-Policy Multi-Agent Reinforcement Learning ICML 2025 Discrete Latent Plans via Semantic Skill Abstractions ICLR 2025 Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint ICLR 2025 Cross-Embodiment Dexterous Grasping with Reinforcement Learning ICLR 2025 Learning Video-Conditioned Policy on Unlabelled Data with Joint Embedding Predictive Transformer ICLR 2025 SEABO: A Simple Search-Based Method for Offline Imitation Learning ICLR 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-policy NIPS 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024 Opponent Modeling based on Subgoal Inference NIPS 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NIPS 2024 Multi-Agent Coordination via Multi-Level Communication NIPS 2024 AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation NIPS 2024 Learning Multi-Object Positional Relationships via Emergent Communication AAAI 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 UniCode : Learning a Unified Codebook for Multimodal Large Language Models ECCV 2024 Visual Grounding for Object-Level Generalization in Reinforcement Learning ECCV 2024 Reinforcement Learning Friendly Vision-Language Model for Minecraft ECCV 2024 Pre-trained Visual Dynamics Representations for Efficient Policy Learning ECCV 2024 LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning EMNLP 2024 Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning ICLR 2024 Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds ICLR 2024 Cross-Domain Policy Adaptation by Capturing Representation Mismatch ICML 2024 Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation ICML 2024 AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback NAACL 2024 LLaMA-Rider: Spurring Large Language Models to Explore the Open World NAACL 2024 Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning ICML 2023 Multi-Agent Automated Machine Learning CVPR 2023 Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning AAAI 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo ICCV 2023 Learning from Visual Observation via Offline Pretrained State-to-Go Transformer NIPS 2023 Mutual-Information Regularized Multi-Agent Policy Iteration NIPS 2023 Multi-Agent Language Learning: Symbolic Mapping ACL 2023 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination NIPS 2022 Difference Advantage Estimation for Multi-Agent Policy Gradients ICML 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning NIPS 2022 Mildly Conservative Q-Learning for Offline Reinforcement Learning NIPS 2022 Model-Based Opponent Modeling NIPS 2022 I2Q: A Fully Decentralized Q-Learning Algorithm NIPS 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NIPS 2022 FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021 The Emergence of Individuality ICML 2021 Hierarchically and Cooperatively Learning Traffic Signal Control AAAI 2021 Learning Individually Inferred Communication for Multi-Agent Cooperation NIPS 2020 Generative Exploration and Exploitation AAAI 2020 Graph Convolutional Reinforcement Learning ICLR 2020 Learning Fairness in Multi-Agent Systems NIPS 2019 Learning Attentional Communication for Multi-Agent Cooperation NIPS 2018