MSPM: A MODULARIZED AND SCALABLE MULTI-AGENT REINFORCEMENT LEARNING-BASED SYSTEM FOR FINANCIAL PORTFOLIO MANAGEMENT

MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management

Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature.However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the ever-changing markets.These approaches are rigid and unscalable to accommodate the varying number of

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CNEr: A toolkit for exploring extreme noncoding conservation.

Conserved Noncoding Elements (CNEs) are elements tablet at ackermans exhibiting extreme noncoding conservation in Metazoan genomes.They cluster around developmental genes and act as long-range enhancers, yet nothing that we know about their function explains the observed conservation levels.Clusters of CNEs coincide with topologically associating d

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