Guoliang Fan

发表

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

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022, ArXiv.

Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022 .

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution

Xinwen Hou, Yunru Bai, Bin Zhang, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

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

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022, ArXiv.

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Zhiwei Xu, Dapeng Li, Bin Zhang, 2022, ArXiv.

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

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022, ICONIP.

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets

Xinwen Hou, Arunesh Sinha, David Lo, 2022, ArXiv.

Learn Effective Representation for Deep Reinforcement Learning

Zhiwei Xu, Yuan Zhan, Guoliang Fan, 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME).

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2021, AAAI.

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Zhiwei Xu, Dapeng Li, Bin Zhang, 2022, AAAI.

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

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022, ArXiv.

Curiosity-Driven and Victim-Aware Adversarial Policies

Xinwen Hou, D. Lo, Arunesh Sinha, 2022, ACSAC.

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

Rui Zhao, Hangyu Mao, Zhiwei Xu, 2023, ArXiv.

Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games

Yunpeng Bai, Qiang He, Chen Gong, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2023, ArXiv.

Hierarchical Multi-Agent Reinforcement Learning with Intrinsic Reward Rectification

Zhiwei Xu, Guoliang Fan, Zhihao Liu, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2023, 2302.02180.

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

Yunru Bai, Zhiwei Xu, Dapeng Li, 2022, NeurIPS.

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

Yunpeng Bai, Guoliang Fan, Zhiwei Xu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

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

Bin Zhang, Yunpeng Bai, Guoliang Fan, 2021, AAMAS.

Learning to Coordinate via Multiple Graph Neural Networks

Zhiwei Xu, Dapeng Li, Bin Zhang, 2021, ICONIP.

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

Bin Zhang, Dapeng Li, Bin Zhang, 2023, ArXiv.

SIDE: I Infer the State I Want to Learn pdf

Yunpeng Bai, Guoliang Fan, Zhiwei Xu, 2021, ArXiv.

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

Bin Zhang, Yunpeng Bai, Chen Gong, 2021, ArXiv.

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2023, IJCAI.

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

Feiyang Pan, Zhiwei Xu, Dapeng Li, 2023, ArXiv.

BAFFLE: Backdoor Attack in Offline Reinforcement Learning

Xinwen Hou, Arunesh Sinha, David Lo, 2022, 2210.04688.

Curiosity-Driven and Victim-Aware Adversarial Policies

Xinwen Hou, D. Lo, Arunesh Sinha, 2022, ACSAC.

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

Xinwen Hou, Arunesh Sinha, David Lo, 2022, 2210.04688.

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution

Xinwen Hou, Yunru Bai, Bin Zhang, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

The $f$-Divergence Reinforcement Learning Framework

Qiang He, Yunpeng Bai, Chen Gong, 2021, 2109.11867.

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

Zhiwei Xu, Dapeng Li, Bin Zhang, 2023, ArXiv.

Mastering Complex Coordination Through Attention-Based Dynamic Graph

Zhiwei Xu, Guoliang Fan, Guangchong Zhou, 2023, ICONIP.

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

Dapeng Li, Bin Zhang, Guoliang Fan, 2024, 2404.17780.

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

Dapeng Li, Bin Zhang, Guoliang Fan, 2023, NeurIPS.