Deep Learning and Reinforcement Learning Library for Scientists and Engineers
-
Updated
Jul 2, 2020 - Python
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Simple Reinforcement learning tutorials
Build your neural network easy and fast
Tensorflow tutorial from basic to hard
Repo for the Deep Reinforcement Learning Nanodegree program
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Minimal and Clean Reinforcement Learning Examples
Modularized Implementation of Deep RL Algorithms in PyTorch
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
TensorFlow implementation of Deep Reinforcement Learning papers
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
Deep Reinforcement Learning with pytorch & visdom
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
There seems to be some issues stemming from some Pytorch changes, seemingly to do with float/double. See: https://travis-ci.com/github/cpnota/autonomous-learning-library/builds/179286204
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
Accompanying repository for Let's make a DQN / A3C series.
use AI to play some games.
Python library for Reinforcement Learning.
Deep Reinforcement Learning for the JVM (Deep-Q, A3C)
Structural implementation of RL key algorithms
RLgraph: Modular computation graphs for deep reinforcement learning
Add a description, image, and links to the dqn topic page so that developers can more easily learn about it.
To associate your repository with the dqn topic, visit your repo's landing page and select "manage topics."