Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks. [PDF]
Sci RepPrabha KL +3 more
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AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts. [PDF]
Brain InformShaik T +6 more
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Active Flow Control for Drag Reduction Through Multi-agent Reinforcement Learning on a Turbulent Cylinder at R e D = 3900. [PDF]
Flow Turbul CombustSuárez P +6 more
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Correction: Mesoscale effects of trader learning behaviors in financial markets: A multi-agent reinforcement learning study. [PDF]
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International Joint Conference on Autonomous Agents and Multiagent Systems, 2020Multi-agent reinforcement learning has generally been studied under an assumption inherited from classical reinforcement learning: that the reward function is the exclusive property of the environment, and is only altered by external factors. In this work, we break free of this assumption and introduce peer rewarding, in which agents can deliberately ...
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