pythonpaperexecutionreinforcement-learningafter-work
Introducing Double Deep Q-Learning for Optimal Execution for after-work quants
Ning, Lin & Jaimungal (2018) apply Double Deep Q-Learning to optimal execution—RL as a study tool for how to finish a parent order under market impact. Plain-language intro. Not investment advice.