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LSTM-Based Anomalous Behavior Detection in Multi-Agent Reinforcement Learning., , , , , and . CSR, page 16-21. IEEE, (2022)Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control., , , , and . ICTAI, page 15-22. IEEE, (2020)A novel policy-graph approach with natural language and counterfactual abstractions for explaining reinforcement learning agents., , , , , and . Auton. Agents Multi Agent Syst., 37 (2): 34 (October 2023)Wilderness Search and Rescue Missions using Deep Reinforcement Learning., , , , and . SSRR, page 102-107. IEEE, (2020)Deep Reinforcement Learning for Adaptive Exploration of Unknown Environments., , , , , and . CoRR, (2021)Safe Reinforcement Learning via Observation Shielding., , , , , and . HICSS, page 6603-6612. ScholarSpace, (2023)CAPS: Comprehensible Abstract Policy Summaries for Explaining Reinforcement Learning Agents., , , and . AAMAS, page 889-897. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)A Symbolic-AI Approach for UAV Exploration Tasks., , , , and . ICARA, page 101-105. IEEE, (2021)Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness., , , , , and . PRIMA, volume 13753 of Lecture Notes in Computer Science, page 347-363. Springer, (2022)