6433 Open source projects that are alternatives of or similar to Rainbow Is All You Need

Reinforcement learning with A* and a deep heuristic

Repo for the Deep Reinforcement Learning Nanodegree program

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

Master Thesis: Limit order placement with Reinforcement Learning

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

RLgraph: Modular computation graphs for deep reinforcement learning

Trading with recurrent actor-critic reinforcement learning

Structural implementation of RL key algorithms

Implementation of Meta-RL A3C algorithm

Paper reading notes on Deep Learning and Machine Learning

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

RAD: Reinforcement Learning with Augmented Data

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Applying Reinforcement Learning in Quantitative Trading

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

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

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

Machine Learning notebooks for refreshing concepts.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Python library for Reinforcement Learning.

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

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

A course in reinforcement learning in the wild

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

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

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

我的强化学习笔记和学习材料📖 still updating ... ...

DrQ: Data regularized Q

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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

Stock Trading Bot using Deep Q-Learning

Grokking Deep Reinforcement Learning

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

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

Repository for most of the code from my YouTube channel

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

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

Reinforcement Learning for Portfolio Management

Multiple implementations for abstractive text summurization , using google colab

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

backtrader with DRL ( Deep 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..

Learning to trade under the reinforcement learning framework

Quiz & Assignment of Coursera

A PyTorch library for building deep reinforcement learning agents.

Open Machine Learning course at MIPT

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

use AI to play some games.

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

Deep Reinforcement Learning with pytorch & visdom

Quiz & Assignment of Coursera

Solutions of Reinforcement Learning, An Introduction

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

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

中国象棋alpha zero程序

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥