KodAgge / Reinforcement-Learning-for-Market-Making

Using tabular and deep reinforcement learning methods to infer optimal market making strategies

Date Created 2022-05-20 (2 years ago)

Commits 109 (last one about a year ago)

Stargazers 181 (1 this week)

Watchers 3 (0 this week)

Forks 46

License unknown

Ranking

RepositoryStats indexes 623,448 repositories, of these KodAgge/Reinforcement-Learning-for-Market-Making is ranked #200,137 (68th percentile) for total stargazers, and #435,943 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,721/18,667.

KodAgge/Reinforcement-Learning-for-Market-Making is also tagged with popular topics, for these it's ranked: deep-learning (#3,820/8750), reinforcement-learning (#565/1416), deep-reinforcement-learning (#177/377)

All Topics

q-learning deep-learning market-making limit-order-book double-deep-q-network reinforcement-learning deep-reinforcement-learning

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109 commits on the default branch (main) since jan '22

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updated: 2025-03-01 @ 06:29am, id: 494593557 / R_kgDOHXrmFQ