Finding 3402Emerging EvidenceValidation V0
Researchers unveil a novel deep reinforcement learning framework that leverages a Soft Actor-Critic algorithm with semi-Markov and Hawkes jump-diffusion models to simulate limit order book dynamics in non-Markovian financial markets.
78%Confidence
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Supporting78% linkage confidence
Researchers unveil a novel deep reinforcement learning framework that leverages a Soft Actor-Critic algorithm with semi-Markov and Hawkes jump-diffusion models to simulate limit order book dynamics in non-Markovian financial markets.
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Inspect source: Deep Reinforcement Learning in Non-Markov Market-Making →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.