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A mapping study about the standard ISO/IEC29110., and . Comput. Stand. Interfaces, (2019)Undesired state-action prediction in multi-agent reinforcement learning for linked multi-component robotic system control., , and . Inf. Sci., (2013)Reinforcement Learning Experiments Running Efficiently over Widly Heterogeneous Computer Farms., , and . HAIS, volume 11734 of Lecture Notes in Computer Science, page 758-769. Springer, (2019)Training Multiagent Systems by Q-Learning: Approaches and Empirical Results., , , and . Comput. Intell., 31 (3): 498-512 (2015)Improving the Control of Single Robot Hose Transport., , , and . Cybern. Syst., 43 (4): 261-275 (2012)Variable speed wind turbine controller adaptation by reinforcement learning., , and . Integr. Comput. Aided Eng., 24 (1): 27-39 (2017)Empirical Study of the Sensitivity of CACLA to Sub-optimal Parameter Setting in Learning Feedback Controllers., , , and . SOCO-CISIS-ICEUTE, volume 239 of Advances in Intelligent Systems and Computing, page 101-108. Springer, (2013)Towards Concurrent Q-Learning on Linked Multi-Component Robotic Systems., , and . HAIS (2), volume 6679 of Lecture Notes in Computer Science, page 463-470. Springer, (2011)Concurrent Modular Q-Learning with Local Rewards on Linked Multi-Component Robotic Systems., , and . IWINAC (1), volume 6686 of Lecture Notes in Computer Science, page 148-155. Springer, (2011)Reinforcement Learning endowed with safe veto policies to learn the control of Linked-Multicomponent Robotic Systems., , , , and . Inf. Sci., (2015)