1542 Open source projects that are alternatives of or similar to Ai Blog

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

Reinforcement learning tutorials

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

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Implementations of deep RL papers and random experimentation

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

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

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

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Minimal and Clean Reinforcement Learning Examples

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Deep Reinforcement Learning with pytorch & visdom

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

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

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

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

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

Highly Modular and Scalable Reinforcement Learning

🤖 Implements of Reinforcement Learning algorithms.

OpenAI's cartpole env solver.

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Master Thesis: Limit order placement with Reinforcement Learning

A PyTorch implementation of Rainbow DQN agent

My experimentations with Reinforcement Learning in Pytorch

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

강화학습에 대한 기본적인 알고리즘 구현

Solving OpenAI Gym problems.

The Retro Learning Environment (RLE) -- a learning framework for AI

A working implementation of the Categorical DQN (Distributional RL).

ROS 2 enabled Machine Learning algorithms

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

playing idealized trading games with deep reinforcement learning

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

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Reinforcement learning with A* and a deep heuristic

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

AI research environment for the Atari 2600 games 🤖.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Build environment and train a robot arm from scratch (Reinforcement Learning)

Minimal implementations of reinforcement learning algorithms by Tensorflow

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

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

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

TensorFlow Tutorials with YouTube Videos

This is a simple implementation of DeepMind's PySC2 RL agents.

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

AI斗地主

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.