Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
-
Updated
Jun 30, 2020 - Jupyter Notebook
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.
Deep Reinforcement Learning library for humans
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Web dev examples, tricks and more
Self parking with reinforcement learning
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
A simple reinforcement learning simulation engine for OpenAI's gym.
Graph-based Deep Q Network for Web Navigation
In-browser reinforcement learning for flappy bird
A model car learns driving along a track using reinforcement learning
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations using Multi Independent Agent Reinforcement Learning
This is a three dimensional pathfinding algorithm visualizer project.
CartPole game by Reinforcement Learning, a journey from training to inference
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.
Add a description, image, and links to the qlearning topic page so that developers can more easily learn about it.
To associate your repository with the qlearning topic, visit your repo's landing page and select "manage topics."