Bin Zhang

Affiliations:

Institute of Automation, Chinese Academy of Sciences, China

According to our database¹, Bin Zhang authored at least 33 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

[BibT_eX]

[DOI]

CoRR, 2023

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.

[BibT_eX]

[DOI]

CoRR, 2023

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems.

[BibT_eX]

[DOI]

CoRR, 2023

From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DSLN: Dual-tutor student learning network for multiracial glaucoma detection.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2022

MMNet: A multi-scale deep learning network for the left ventricular segmentation of cardiac MRI images.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Efficient Policy Generation in Multi-agent Systems via Hypergraph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-Agent Hyper-Attention Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

SIDE: I Infer the State I Want to Learn.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to Coordinate via Multiple Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Bin Zhang

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