162 Open source projects that are alternatives of or similar to Dqn Flappybird

AI research environment for the Atari 2600 games 🤖.

ROS 2 enabled Machine Learning algorithms

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

An elegant PyTorch deep reinforcement learning library.

Python library for Reinforcement Learning.

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

Logarithmic Reinforcement Learning

RLgraph: Modular computation graphs for deep reinforcement learning

use AI to play some games.

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

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.

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

A PyTorch library for building deep reinforcement learning agents.

RAD: Reinforcement Learning with Augmented Data

Deep Reinforcement Learning with pytorch & visdom

Graph-based Deep Q Network for Web Navigation

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

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

Generic reinforcement learning codebase in TensorFlow

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A curated list of Monte Carlo tree search papers with implementations.

No description or website provided.

This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.

Structural implementation of RL key algorithms

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Samples for TensorFlow binding for .NET by Lost Tech

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

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Spriteworld: a flexible, configurable python-based reinforcement learning environment

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

[파이썬과 케라스로 배우는 강화학습] 예제

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

DrQ: Data regularized Q

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)

OpenNARS for Research 3.0+

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

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

[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.

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

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

Solving POMDP using Recurrent networks

Repo for the Deep Reinforcement Learning Nanodegree program

Autonomous Drifting using Reinforcement Learning

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

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

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

DQN to play Atari Pong

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

juliareinforcementlearning.org/

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

The code for the SRDQN algorithm to train an agent for the beer game problem

The implement of all kinds of dqn reinforcement learning with Pytorch

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

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

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.