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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)

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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)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)Learning to Shape Rewards Using a Game of Two Partners., , , , , , , , , and 4 other author(s). AAAI, page 11604-11612. AAAI Press, (2023)Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning., , , , , , and . ICDE, page 205-217. IEEE, (2023)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)CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems., , , , and . CoRR, (2024)Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning., , , , , and . IEEE Trans. Mob. Comput., 20 (1): 130-146 (2021)