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 23 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.
CoRR, 2023

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.
CoRR, 2023

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

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.
CoRR, 2023

Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2023

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

SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Mastering Complex Coordination Through Attention-Based Dynamic Graph.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2022

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

Efficient Policy Generation in Multi-agent Systems via Hypergraph Neural Network.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Multi-Agent Hyper-Attention Policy Optimization.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Learn Effective Representation for Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 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
SIDE: I Infer the State I Want to Learn.
CoRR, 2021

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Learning to Coordinate via Multiple Graph Neural Networks.
Proceedings of the Neural Information Processing - 28th International Conference, 2021


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