a3c_trading VS alpha-zero-general

Compare a3c_trading vs alpha-zero-general and see what are their differences.

a3c_trading

Trading with recurrent actor-critic reinforcement learning (by evgps)

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more (by suragnair)
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a3c_trading alpha-zero-general
14 4
418 3,696
- -
0.0 4.7
over 1 year ago 13 days 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.

a3c_trading

Posts with mentions or reviews of a3c_trading. We have used some of these posts to build our list of alternatives and similar projects.

alpha-zero-general

Posts with mentions or reviews of alpha-zero-general. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-26.

What are some alternatives?

When comparing a3c_trading and alpha-zero-general you can also consider the following projects:

Practical_RL - A course in reinforcement learning in the wild

muzero-general - MuZero

HFTFramework - HFTFramework utilized for research on " A reinforcement learning approach to improve the performance of the Avellaneda-Stoikov market-making algorithm "

minigo - An open-source implementation of the AlphaGoZero algorithm

tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

reversatile - Reversatile: Reversi for Android

Popular-RL-Algorithms - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

SelfplayLab - Implementation of the alphago zero algorithm with some small games for experimenting with reinforcement learning

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

rl-trading - Using Reinforcement Learning agents as Algorithmic Traders

Siren-fastai2 - Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'