本项目复现了 2020 年 ACM 国际金融人工智能会议（ICAIF 2020）上发表的论文《Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy》，使用 PPO、A2C、DDPG 等多种深度强化学习算法并做集成，在道琼斯 30 只股票上进行交易决策研究，并评估其夏普比率等风险调整收益表现。
☆13Mar 13, 2025Updated last year
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