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Decentralized graph-based multi-agent reinforcement learning using reward machines.

, , , , , and . Neurocomputing, (January 2024)

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Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks., , , and . CoRR, (2021)Reinforcement Learning with Reward Machines in Stochastic Games., , , , , and . ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 1068-1075. IOS Press, (2023)Predicting Terminal Mid-Air Collisions Through Simulator Experiments of Air Traffic Control., , , , and . WSC, page 2536-2548. IEEE, (2020)FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction., , and . CoRR, (2020)ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation., , and . IEEE BigData, page 871-880. IEEE, (2018)PIGAT: Physics-Informed Graph Attention Transformer for Air Traffic State Prediction., , , and . IEEE Trans. Intell. Transp. Syst., 25 (9): 12561-12577 (September 2024)Probabilistic physics-guided machine learning for fatigue data analysis., and . Expert Syst. Appl., (2021)Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning., , , , , and . IEEE Access, (2022)Practical Differences Between Photogrammetric Bathymetry and Physics-Based Bathymetry., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Decentralized graph-based multi-agent reinforcement learning using reward machines., , , , , and . Neurocomputing, (January 2024)