GREEDY ACTION SELECTION AND PESSIMISTIC Q-VALUE UPDATING IN MULTI-AGENT REINFORCEMENT LEARNING WITH SPARSE INTERACTION

Greedy Action Selection and Pessimistic Q-Value Updating in Multi-Agent Reinforcement Learning with Sparse Interaction

Although multi-agent reinforcement learning (MARL) is a promising method for learning a collaborative action policy, enabling each agent to accomplish specified tasks, MARL has a problem of exponentially increasing state-action space.This state-action space can be dramatically reduced by assuming sparse interaction.We previously proposed three meth

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Robustness Evaluation of Aerodynamic Flutter Stability and Aerostatic Torsional Stability of Long-Span Suspension Bridges

Structural robustness is defined by the international engineering community as the capabilities of structural systems that enable them to survive unforeseen or unusual circumstances.In order to highlight the unforeseen and unusual characteristics of wind hazards, this study introduces the concept of structural robustness into the wind-resistant des

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