FinRL-Library VS Reinforcement-Learning

Compare FinRL-Library vs Reinforcement-Learning and see what are their differences.

FinRL-Library

Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL] (by AI4Finance-LLC)
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FinRL-Library Reinforcement-Learning
202 1
2,782 4,091
- -
9.8 0.0
over 2 years ago almost 4 years ago
Jupyter Notebook Jupyter Notebook
MIT License 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-Library

Posts with mentions or reviews of FinRL-Library. We have used some of these posts to build our list of alternatives and similar projects.

Reinforcement-Learning

Posts with mentions or reviews of Reinforcement-Learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing FinRL-Library and Reinforcement-Learning you can also consider the following projects:

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

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

FinRL - FinRL: Financial Reinforcement Learning. 🔥

Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

rl_lib - Series of deep reinforcement learning algorithms 🤖

DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

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

snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake

FinanceOps - Research in investment finance with Python Notebooks

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

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]

TextWorld - ​TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.