7655 Open source projects that are alternatives of or similar to Reinforcement_learning_tutorial_with_demo

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Minimal and Clean Reinforcement Learning Examples

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Deep Reinforcement Learning with pytorch & visdom

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Scalable, event-driven, deep-learning-friendly backtesting library

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Implementations of Reinforcement Learning Models in Tensorflow

Repo for the Deep Reinforcement Learning Nanodegree program

A3C LSTM Atari with Pytorch plus A3G design

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

DrQ: Data regularized Q

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

No description or website provided.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

playing idealized trading games with deep reinforcement learning

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

Grokking Deep Reinforcement Learning

A course in reinforcement learning in the wild

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

TensorFlow Tutorials with YouTube Videos

Learning human driver models from NGSIM data with imitation learning.

Some notebooks

Master Thesis: Limit order placement with Reinforcement Learning

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Teach a Quadcopter How to Fly!

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

Combining deep learning and reinforcement learning.

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Accompanying repository for Let's make a DQN / A3C series.

Multiple implementations for abstractive text summurization , using google colab

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

TensorFlow A2C to solve Acrobot, with synchronized parallel environments

TensorFlow2 Reinforcement Learning

Reinforcement Learning for Portfolio Management