FinRL VS rl_lib

Compare FinRL vs rl_lib and see what are their differences.

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FinRL rl_lib
44 2
9,016 27
2.5% -
8.6 0.0
8 days ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FinRL

Posts with mentions or reviews of FinRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

rl_lib

Posts with mentions or reviews of rl_lib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-12.

What are some alternatives?

When comparing FinRL and rl_lib you can also consider the following projects:

tensortrade - An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]

FinRL-Meta - FinRL­-Meta: Dynamic datasets and market environments for FinRL.

Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020 - Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star. [Moved to: https://github.com/AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020]

garage - A toolkit for reproducible reinforcement learning research.

Deep-Hedging

FinRL-Trading - For trading. Please star.

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.