强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Repository Index
47,133 repositories indexed
1–6 of 6 · Most stars
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
A curated list of Monte Carlo tree search papers with implementations.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Example of reinforcement learning using q-learning to teach an AI to play a game in Rub