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Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning.

, , , and . AAMAS, page 1928-1937. ACM, (2024)

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Assured Reinforcement Learning with Formally Verified Abstract Policies., , , and . ICAART (2), page 105-117. SciTePress, (2017)An Empirical Analysis of Terminological Representation Systems., , , and . Artif. Intell., 68 (2): 367-397 (1994)Guest Editorial: Special Issue on Intelligent Robotics and Multi-Agent Systems., and . Cybern. Syst., 50 (8): 657 (2019)Continuous Gesture Recognition from sEMG Sensor Data with Recurrent Neural Networks and Adversarial Domain Adaptation., , and . CoRR, (2020)MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning., , and . CoRR, (2020)Deep Multi-Agent Reinforcement Learning with Relevance Graphs., , , , and . CoRR, (2018)Tuning an Algorithm Using Design of Experiments., and . Experimental Methods for the Analysis of Optimization Algorithms, Springer, (2010)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)An effective single-model learning for multi-label data., and . Expert Syst. Appl., (December 2023)