Search Results for author: Matthew Thomas

Found 1 papers, 0 papers with code

Reinforcement Learning in Agent-Based Market Simulation: Unveiling Realistic Stylized Facts and Behavior

no code implementations28 Mar 2024 Zhiyuan Yao, Zheng Li, Matthew Thomas, Ionut Florescu

Investors and regulators can greatly benefit from a realistic market simulator that enables them to anticipate the consequences of their decisions in real markets.

Reinforcement Learning (RL)

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