Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
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Updated
May 2, 2023 - Jupyter Notebook
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Python library for Reinforcement Learning.
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Deep Reinforcement Learning library for humans
Quick guide and tutorial to scientific data python programming
Self parking with reinforcement learning
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy
Jupyter notebook containing a solution to Sutton and Barto's gridworld problem with both a random agent and a Q-learning agent.
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.
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
A simple reinforcement learning simulation engine for OpenAI's gym.
Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)
Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874
Graph-based Deep Q Network for Web Navigation
Web dev examples, tricks and more
Othello reinforcement learning game playing engine
Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
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