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Dongbin Zhao

17 papers · 2024–2026 · 10 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Gold πŸ† Grand Slam πŸ’Ž Century Club Β· Bronze
πŸ—ƒοΈ Keyword Collector (93) ⚑ Prolific Year Β· Prolific 🌈 Renaissance Researcher (5) πŸ“ˆ Trend Setter

Venues

ICLR (4) ACL (2) CoRL (2) ICML (2) NeurIPS (2) AAAI (1) CVPR (1) EMNLP (1) ICCV (1) RSS (1)

Top co-authors

Qichao Zhang (8) Yuanheng Zhu (7) Haoran Li (5) Yuqian Fu (4) Jingbo Sun (4) Jiajun Chai (4) Yupeng Zheng (3) Songjun Tu (3) Ke Chen (3) Runyu Lu (2)

Research topics

Artificial Intelligence (13) Core AI (13) Reinforcement Learning (7) Methods (7) Deep Learning (5) Machine Learning (5) Learning Paradigms (4) Optimization & Theory (3) Applications (2) Learning Types Β· Deep Learning (2) Learning Types Β· Machine Learning (2) Models (2) Computer Vision (1) Mathematics & Optimization (1) Robotics (1)

Keywords

offline reinforcement learning (5) zero-shot generalization (3) world model (3) reinforcement learning (2) decision transformer (2) multi-agent reinforcement learning (2) large language model (2) unsupervised reinforcement learning (2) diffusion model (2) zero-shot learning (1) self-supervised learning (1) robotic manipulation (1) chain-of-thought reasoning (1) autonomous driving (1) representation learning (1) policy optimization (1) out-of-distribution generalization (1) sequence modeling (1) task generalization (1) visual reinforcement learning (1)

Papers

Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching ACL 2026 Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning CVPR 2026 Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection ACL 2026 ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy RSS 2025 Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium ICML 2025 DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy ICML 2025 Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games ICLR 2025 Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning ICLR 2025 FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real CoRL 2025 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning ICLR 2025 ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving CoRL 2025 RLAE: Reinforcement Learning-Assisted Ensemble for LLMs EMNLP 2025 Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation ICLR 2025 World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model ICCV 2025 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024