FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, 2020
Introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.
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- AI in Finance
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- 2026-10-10
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FinRL github.com
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.
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Financial Trading as a Game: A Deep Reinforcement Learning Approach arxiv.org
Deep reinforcement learning provides a framework toward end-to-end training of such trading agent.
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Deep-Reinforcement-Stock-Trading github.com
A light-weight deep reinforcement learning framework for portfolio management.
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LLMs Meet Finance arxiv.org
A three-stage fine-tuning pipeline (SFT → DPO → synthetic-data RL) that adapts Qwen2.5 and DeepSeek-R1 to financial tasks on the Open FinLLM Leaderboard, with findings on cross-task transfer and data scaling laws in finance.
AI in Finance › Papers: “Introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.”