Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Python library for Reinforcement Learning.
π₯πγMachine Learning ζ Όη©εΏγ: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!πͺ This repository is ALL You Need!
Deep Reinforcement Learning library for humans
Tutorial4RL: Tutorial for Reinforcement Learning. εΌΊεε¦δΉ ε ₯ι¨ζη¨.
R.L. methods and techniques.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.
Self parking with reinforcement learning
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
Web dev examples, tricks and more
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy
Graph-based Deep Q Network for Web Navigation
In-browser reinforcement learning for flappy bird π¦
Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet.
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
This is a three dimensional pathfinding algorithm visualizer project.
A simple reinforcement learning simulation engine for OpenAI's gym.
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