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Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training., , , , , , , , and . CoRR, (2022)Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach., , , , , , and . ICDE, page 25-36. IEEE, (2020)Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning., , , , , , and . ICDE, page 205-217. IEEE, (2023)Learning to Shape Rewards Using a Game of Two Partners., , , , , , , , , and 4 other author(s). AAAI, page 11604-11612. AAAI Press, (2023)Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 946-955. PMLR, (2022)Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract)., , , , , , and . ICDE, page 3861-3862. IEEE, (2023)Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach., , , , , and . INFOCOM, page 1-10. IEEE, (2021)Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning., , , , and . KDD, page 3679-3687. ACM, (2021)AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning., , , , , , and . INFOCOM, page 1029-1038. IEEE, (2022)Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition., , , , , , , , , and 1 other author(s). IEEE Trans. Games, 16 (2): 352-364 (June 2024)