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Graph-based State Representation for Deep Reinforcement Learning

, , and . Proceedings of the 16th International Workshop on Mining and Learning with Graphs (MLG), (2020)

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Assured Reinforcement Learning with Formally Verified Abstract Policies., , , and . ICAART (2), page 105-117. SciTePress, (2017)Deep Multi-Agent Reinforcement Learning with Relevance Graphs., , , , and . CoRR, (2018)Interactions Between Stereotypes., and . AH, volume 4018 of Lecture Notes in Computer Science, page 172-181. Springer, (2006)Reinforcement Learning Approaches to Coordination in Cooperative Multi-agent Systems., , and . Adaptive Agents and Multi-Agents Systems, volume 2636 of Lecture Notes in Computer Science, page 18-32. Springer, (2002)MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning., , and . CoRR, (2020)Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation., , and . CoRR, (2020)A comparative evaluation of machine learning methods for robot navigation through human crowds., , and . CoRR, (2020)An effective single-model learning for multi-label data., and . Expert Syst. Appl., (December 2023)Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence., , , and . AAAI, page 1687-1693. AAAI Press, (2014)MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning., , and . REDUNDANCY, page 171-176. IEEE, (2019)