Zhiwei Xu

Orcid: 0000-0002-0754-5295

Affiliations:

Chinese Academy of Sciences, Institute of Automation, Beijing, China
University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China

According to our database¹, Zhiwei Xu authored at least 29 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

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

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

Adaptive Parameter Sharing for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 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

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

[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: 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

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.

[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

SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Mastering Complex Coordination Through Attention-Based Dynamic Graph.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 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

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

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

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

Learn Effective Representation for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Yuan Zhan

Zhiwei Xu

Guoliang Fan

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

SIDE: I Infer the State I Want to Learn.

[BibT_eX]

[DOI]

CoRR, 2021

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Learning to Coordinate via Multiple Graph Neural Networks.

[BibT_eX]

[DOI]

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

Zhiwei Xu

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