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Hi-DARTS: Hierarchical Dynamically Adapting Reinforcement Trading System
Published in ICTC 2025, 2025
Conventional autonomous trading systems struggle to balance computational efficiency and market responsiveness due to their fixed operating frequency. We propose Hi-DARTS, a hierarchical multi-agent reinforcement learning framework that addresses this trade-off.