vermouth1992 / Drl Portfolio Management
Licence: mit
CSCI 599 deep learning and its applications final project
Stars: ✭ 121
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Deep Reinforcement Learning for Portfolio Management
- This is done as CSCI 599 deep learning and its applications final project at USC Fall 2017
- For more information, you can read our report
Algorithms used in this work
- Imitation Learning
- Deep Deterministic Policy Gradient
Dataset
- We use dataset from kaggle. It can be found here
Reference
- A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
- The environment is inspired by https://github.com/wassname/rl-portfolio-management
- DDPG implementation is inspired by http://pemami4911.github.io/blog/2016/08/21/ddpg-rl.html
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