Bin Zhang
Affiliations:- Institute of Automation, Chinese Academy of Sciences, China
According to our database1,
Bin Zhang
authored at least 36 papers
between 2021 and 2024.
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Bibliography
2024
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.
CoRR, 2024
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2024
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning.
CoRR, 2024
CoRR, 2024
Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.
CoRR, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning.
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.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems.
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.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.
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.
CoRR, 2023
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.
CoRR, 2023
CoRR, 2023
Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems.
CoRR, 2023
From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL.
CoRR, 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Neural Comput. Appl., 2022
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.
CoRR, 2022
Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network.
CoRR, 2022
MMNet: A multi-scale deep learning network for the left ventricular segmentation of cardiac MRI images.
Appl. Intell., 2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Neural Information Processing - 29th International Conference, 2022
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning.
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.
CoRR, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021