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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Traditional Chinese medicine for heart failure with preserved ejection fraction: clinical evidence and potential mechanisms

Heart failure with preserved ejection fraction accounts for a large proportion of heart failure, and it is closely related to a high hospitalization rate and high mortality rate of chervo jacke herren cardiovascular disease.Although the methods and means of modern medical treatment of HFpEF are becoming increasingly abundant, they still cannot full

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