Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
Multiagent Continual Coordination via Progressive Task Contextualization.
IEEE Trans. Neural Networks Learn. Syst., April, 2025
Open and real-world human-AI coordination by heterogeneous training with communication.
Frontiers Comput. Sci., April, 2025
Constraining an Unconstrained Multi-agent Policy with offline data.
Neural Networks, 2025
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification.
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Trans. Mach. Learn. Res., 2024
Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay.
CoRR, 2024
Multi-Agent Domain Calibration with a Handful of Offline Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Quality-Diversity with Limited Resources.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
DPGCN Model: A Novel Fault Diagnosis Method for Marine Diesel Engines Based on Imbalanced Datasets.
IEEE Trans. Instrum. Meas., 2023
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.
CoRR, 2023
Efficient Human-AI Coordination via Preparatory Language-based Convention.
CoRR, 2023
Multi-agent Continual Coordination via Progressive Task Contextualization.
CoRR, 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.
CoRR, 2023
Three-Phase Asynchronous Motor Fault Diagnosis Using Attention Mechanism and Hybrid CNN-MLP By Multi-Sensor Information.
IEEE Access, 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Learning to Coordinate with Anyone.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
A Leader-Following Consensus Problem Via a Distributed Observer and Fuzzy Input-to-Output Small-Gain Theorem.
IEEE Trans. Control. Netw. Syst., 2022
Adaptive Privacy-Preserving Federated Learning for Fault Diagnosis in Internet of Ships.
IEEE Internet Things J., 2022
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.
CoRR, 2022
Efficient Multi-agent Communication via Self-supervised Information Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multi-Agent Concentrative Coordination with Decentralized Task Representation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Real-Time Optimization Energy Management Strategy for Fuel Cell Hybrid Ships Considering Power Sources Degradation.
IEEE Access, 2020
A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion.
Sensors, 2019
Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China.
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ISPRS Int. J. Geo Inf., 2016