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Dongbin Zhao
28 papers at tracked venues · 19 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0001-8218-9633 ↗
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Venues
AAMAS
×6
NeurIPS
×6
ACL
×4
ICLR
×4
ICML
×2
AAAI
×1
EMNLP
×1
ICCV
×1
ICRA
×1
IROS
×1
WWW
×1
Frequent coauthors
Qichao Zhang
×14
Yuanheng Zhu
×12
Songjun Tu
×7
Jiajun Chai
×7
Yuqian Fu
×7
Jingbo Sun
×6
Haoran Li
×6
Yaocheng Zhang
×4
Runyu Lu
×3
Ke Chen
×3
Wei Lin
×2
Guojun Yin
×2
Papers
AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning
BibTeX ⧉
ACL 2026
·
Jingbo Sun
,
Wenyue Chong
,
Songjun Tu
,
Qichao Zhang
,
Yaocheng Zhang
,
Jiajun Chai
,
Xiaohan Wang
,
Wei Lin
,
Guojun Yin
,
Dongbin Zhao
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching
BibTeX ⧉
ACL 2026
·
Bo Lv
,
Jingbo Sun
,
Jianwei Lv
,
Chen Tang
,
Shaojie Zhang
,
Nayu Liu
,
Guoxin Yu
,
Zihao Li
,
Qichao Zhang
,
Dongbin Zhao
,
Ping Luo
,
Yue Yu
CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic
BibTeX ⧉
ACL 2026
·
Yaocheng Zhang
,
Haohuan Huang
,
Zijun Song
,
Zijie Zhao
,
Qichao Zhang
,
Yuanheng Zhu
,
Dongbin Zhao
Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection
BibTeX ⧉
ACL 2026
·
Minghui Jia
,
Qichao Zhang
,
Ali Luo
,
Linjing Li
,
Shuo Ye
,
Hailing Lu
,
Wen Hou
,
Dongbin Zhao
Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer
BibTeX ⧉
IROS 2025
·
Mengying Lin
,
Shugao Liu
,
Dingxi Zhang
,
Yaran Chen
,
Zhaoran Wang
,
Haoran Li
,
Dongbin Zhao
Consistency Policy with Categorical Critic for Autonomous Driving
BibTeX ⧉
AAMAS 2025
·
Xing Fang
,
Qichao Zhang
,
Haoran Li
,
Dongbin Zhao
Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium
BibTeX ⧉
ICML 2025
·
Runyu Lu
,
Yuanheng Zhu
,
Dongbin Zhao
DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy
BibTeX ⧉
ICML 2025
·
Kaixuan Xu
,
Jiajun Chai
,
Sicheng Li
,
Yuqian Fu
,
Yuanheng Zhu
,
Dongbin Zhao
Divergence-Regularized Discounted Aggregation: Equilibrium Finding in Multiplayer Partially Observable Stochastic Games
BibTeX ⧉
ICLR 2025
·
Runyu Lu
,
Yuanheng Zhu
,
Dongbin Zhao
Empowering LLM Agents with Zero-Shot Optimal Decision-Making through Q-learning
BibTeX ⧉
ICLR 2025
·
Jiajun Chai
,
Sicheng Li
,
Yuqian Fu
,
Dongbin Zhao
,
Yuanheng Zhu
Equilibrium Policy Generalization: A Reinforcement Learning Framework for Cross-Graph Zero-Shot Generalization in Pursuit-Evasion Games
BibTeX ⧉
NeurIPS 2025
·
Runyu Lu
,
Peng Zhang
,
Ruochuan Shi
,
Yuanheng Zhu
,
Dongbin Zhao
,
Yang Liu
,
Dong Wang
,
Cesare Alippi
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
BibTeX ⧉
ICLR 2025
·
Yuqian Fu
,
Yuanheng Zhu
,
Jian Zhao
,
Jiajun Chai
,
Dongbin Zhao
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
BibTeX ⧉
AAAI 2025
·
Songjun Tu
,
Jingbo Sun
,
Qichao Zhang
,
Yaocheng Zhang
,
Jia Liu
,
Ke Chen
,
Dongbin Zhao
Learning When to Think: Shaping Adaptive Reasoning in R1-Style Models via Multi-Stage RL
BibTeX ⧉
NeurIPS 2025
·
Songjun Tu
,
Jiahao Lin
,
Qichao Zhang
,
Xiangyu Tian
,
Linjing Li
,
Xiangyuan Lan
,
Dongbin Zhao
Learning and Planning Multi-Agent Tasks via an MoE-based World Model
BibTeX ⧉
NeurIPS 2025
·
Zijie Zhao
,
Zhongyue Zhao
,
Kaixuan Xu
,
Yuqian Fu
,
Jiajun Chai
,
Yuanheng Zhu
,
Dongbin Zhao
Offline Goal-Conditioned Reinforcement Learning with Elastic-Subgoal Diffused Policy Learning
BibTeX ⧉
AAMAS 2025
·
Yaocheng Zhang
,
Yuanheng Zhu
,
Yuqian Fu
,
Songjun Tu
,
Dongbin Zhao
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
BibTeX ⧉
AAMAS 2025
·
Songjun Tu
,
Jingbo Sun
,
Qichao Zhang
,
Xiangyuan Lan
,
Dongbin Zhao
RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
BibTeX ⧉
EMNLP 2025
·
Yuqian Fu
,
Yuanheng Zhu
,
Jiajun Chai
,
Guojun Yin
,
Wei Lin
,
Qichao Zhang
,
Dongbin Zhao
Salience-Invariant Consistent Policy Learning for Generalization in Visual Reinforcement Learning
BibTeX ⧉
AAMAS 2025
·
Jingbo Sun
,
Songjun Tu
,
Qichao Zhang
,
Ke Chen
,
Dongbin Zhao
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
BibTeX ⧉
ICRA 2025
·
Pengxuan Yang
,
Yupeng Zheng
,
Qichao Zhang
,
Kefei Zhu
,
Zebin Xing
,
Qiao Lin
,
Yun-Fu Liu
,
Zhiguo Su
,
Dongbin Zhao
Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
BibTeX ⧉
ICLR 2025
·
Jingbo Sun
,
Songjun Tu
,
Qichao Zhang
,
Haoran Li
,
Xin Liu
,
Yaran Chen
,
Ke Chen
,
Dongbin Zhao
Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
BibTeX ⧉
NeurIPS 2025
·
Xin Liu
,
Haoran Li
,
Dongbin Zhao
World4Drive: End-to-End Autonomous Driving via Intention-Aware Physical Latent World Model
BibTeX ⧉
ICCV 2025
·
Yupeng Zheng
,
Pengxuan Yang
,
Zebin Xing
,
Qichao Zhang
,
Yuhang Zheng
,
Yinfeng Gao
,
Pengfei Li
,
Teng Zhang
,
Zhongpu Xia
,
Peng Jia
,
Xianpeng Lang
,
Dongbin Zhao
Aligning Credit for Multi-Agent Cooperation via Model-based Counterfactual Imagination
BibTeX ⧉
AAMAS 2024
·
Jiajun Chai
,
Yuqian Fu
,
Dongbin Zhao
,
Yuanheng Zhu
Boosting Continuous Control with Consistency Policy
BibTeX ⧉
AAMAS 2024
·
Yuhui Chen
,
Haoran Li
,
Dongbin Zhao
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
BibTeX ⧉
NeurIPS 2024
·
Haoran Li
,
Zhennan Jiang
,
Yuhui Chen
,
Dongbin Zhao
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
BibTeX ⧉
NeurIPS 2024
·
Zhi Wang
,
Li Zhang
,
Wenhao Wu
,
Yuanheng Zhu
,
Dongbin Zhao
,
Chunlin Chen
User Response Modeling in Reinforcement Learning for Ads Allocation
BibTeX ⧉
WWW 2024
·
Zhiyuan Zhang
,
Qichao Zhang
,
Xiaoxu Wu
,
Xiaowen Shi
,
Guogang Liao
,
Yongkang Wang
,
Xingxing Wang
,
Dongbin Zhao