rl_lib
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
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rl_lib | Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 | |
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2 | 125 | |
27 | 821 | |
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0.0 | 4.3 | |
almost 3 years ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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rl_lib
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How to do unit testing for reinforcement learning
tests - link
Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020
What are some alternatives?
FinRL - FinRL: Financial Reinforcement Learning. 🔥
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
garage - A toolkit for reproducible reinforcement learning research.
Deep-Reinforcement-Learning-Algorithms - 32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
FinRL-Trading - For trading. Please star.
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥