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Action Pick-up in Dynamic Action Space Reinforcement Learning
Then, we design two different AP methods: frequency-based global method and state clustering-based local method, based on the prior optimal policy.
Hierarchical Deep Reinforcement Learning for VWAP Strategy Optimization
Designing an intelligent volume-weighted average price (VWAP) strategy is a critical concern for brokers, since traditional rule-based strategies are relatively static that cannot achieve a lower transaction cost in a dynamic market.
Hierarchical Reinforcement Learning
reinforcement-learning
+1
