Apr 25, 2023 · In this paper, we present FinRL-Meta, a data-centric and openly accessible library that processes dynamic datasets from real-world markets into gym-style ...
Feb 26, 2024 · The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets.
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets.
This paper presents FinRL-Meta, a data-centric and openly accessible library that processes dynamic datasets from real-world markets into gym-style market ...
FinRL-Meta builds a universe of market environments for data-driven financial reinforcement learning. We aim to help the users in our community to easily build ...
In this paper, we present an openly accessible FinRL-Meta library that has been actively maintained by the AI4Finance community.
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Dynamic Datasets and Market Environments for Financial ...
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The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets.
FinRL-Meta builds a universe of market environments for data-driven financial reinforcement learning. FinRL-Meta follows the de facto standard of OpenAI Gym ...
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FinRL has three layers: market environments, agents, and applications. For a trading task (on the top), an agent (in the middle) interacts with a market ...
... environments and benchmarks for data-driven financial reinforcement learning ... 2019. Dynamic datasets and market environments for financial reinforcement ...