← Authors

Zongqing Lu

68 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (4) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (28) πŸ”¬ Deep Specialist (16) 🧬 Topic Evolution πŸ† Keyword Champion (4) ❓ The Questioner πŸ’Ž Century Club (67) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (215)

Conferences

NIPS (18) ICLR (13) ICML (11) AAAI (6) ICCV (5) ECCV (4) ACL (3) NAACL (3) EMNLP (2) UAI (2) CVPR (1)

Top co-authors

Jiechuan Jiang (13) Sipeng Zheng (9) Wanpeng Zhang (8) Yicheng Feng (8) Haoqi Yuan (8) Ziluo Ding (6) Bohan Zhou (6) Jiafei Lyu (6) Xiu Li (6) Hao Luo (5)

Keywords

reinforcement learning (11) multi-agent reinforcement learning (11) multi-agent system (10) offline reinforcement learning (6) large language model (5) multi-agent cooperation (4) intrinsic reward (3) game ai (3) decentralized learning (3) game theory (3) opponent modeling (3) multimodal large language model (2) policy optimization (2) sparse reward (2) generative model (2) off-policy learning (2) vision-language model (2) chain-of-thought reasoning (2) model-based reinforcement learning (2) mutual information (2)

Papers

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