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, Western Reins 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 propo

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The arthritis severity locus Cia5a regulates the expression of inflammatory mediators including Syk pathway genes and proteases in pristane-induced arthritis

Abstract Background Cia5a is a locus on rat chromosome 10 that regulates disease severity and joint damage in two models of rheumatoid arthritis, collagen- and pristane-induced arthritis (PIA).In this study, we aimed to identify cellular and molecular processes regulated by Cia5a using microarray-based gene expression analysis of synovial tissues f

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PRICING ON LOW-LIQUIDITY EXCHANGES, PROBLEMS AND SOLUTIONS

This article examines the technology of futures supply, which includes three directions in its structure: trading, clearing (clearing organization, position calculations), supply process (non-deliverable contracts, deliveries of goods at a specific elevator, electronic warehouse document management, electronic digital signature system).The schemes

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