Update README.md

README.md

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 For future work, we plan to build a multi-agent-based market simulator that consists of over ten thousands of agents, namely, a FinRL-Metaverse. First, FinRL-Metaverse aims to build a universe of market environments, like the XLand environment ([source](https://deepmind.com/research/publications/2021/open-ended-learning-leads-to-generally-capable-agents)) and planet-scale climate forecast ([source](https://www.nature.com/articles/s41586-021-03854-z)) by DeepMind. To improve the performance for large-scale markets, we will employ GPU-based massive parallel simulation as Isaac Gym ([source](https://arxiv.org/abs/2108.10470)). Moreover, it will be interesting to explore the deep evolutionary RL framework ([source](https://doaj.org/article/4dd31838732842439cc1301e52613d1c)) to simulate the markets. Our final goal is to provide insights into complex market phenomena and offer guidance for financial regulations through FinRL-Metaverse.
 
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 ## Collaborators
 
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