# Curriculum learning empowered reinforcement learning for graph-based portfolio management: Performance optimization and comprehensive analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/curriculum-learning-empowered-reinforcement-learning-for-graph-based-portfolio/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abdullah Ali Salamai |
| Citations | 15 |
| DOI | 10.1016/j.neunet.2024.106537 |
| Fields | Computer Science,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4400622933 |
| PMID | 39053299 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Abdullah Ali Salamai](https://scholariq.org/researchers/abdullah-ali-salamai/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)

## Paper topics

- [Blockchain Technology Applications and Security](https://scholariq.org/topics/blockchain-technology-applications-and-security/)
- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)
- [Advanced Bandit Algorithms Research](https://scholariq.org/topics/advanced-bandit-algorithms-research/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.