trials
PublicOur codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
algorithm-tradingchinese-stockdeep-reinforcement-learningdrl-algorithmsdrl-frameworkdrl-trading-agentsfederated-reinforcement-learningfinancefintechhierarchical-reinforcement-learning
Creat：2023-04-01T22:25:35
Update：2025-03-21T14:28:43
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