596 Open source projects that are alternatives of or similar to king-pong

playing idealized trading games with deep reinforcement learning

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

Repo for the Deep Reinforcement Learning Nanodegree program

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

[INACTIVE] A collection of various machine learning solver. The library is an object-oriented approach (baked with Typescript) and tries to deliver simplified interfaces that make using the algorithms pretty simple.

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

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

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

Minimal and Clean Reinforcement Learning Examples

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

No description or website provided.

Deep Reinforcement Learning based Trading Agent for Bitcoin

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Play Google Chrome's T-rex game with TensorFlow

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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..

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Python library for Reinforcement Learning.

Implementations of Reinforcement Learning Models in Tensorflow

Deep Reinforcement Learning with pytorch & visdom

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

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

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

Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft

A PyTorch library for building deep reinforcement learning agents.

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)

DEEp Reinforcement learning framework

Deep Q-Learning Network in pytorch (not actively maintained)

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

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

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Combining deep learning and reinforcement learning.

A deep reinforcement learning bot that plays tetris

TensorFlow implementation of Deep Reinforcement Learning papers

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.

🤖 Implements of Reinforcement Learning algorithms.

Reinforcement learning with tensorflow 2 keras

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

31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Repository for codes of 'Deep Reinforcement Learning'

Highly Modular and Scalable 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!

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

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

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator