367 Open source projects that are alternatives of or similar to Tf Rex

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

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

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 Reinforcement learning framework

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

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.

Reinforcement Learning Demos

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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..

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

playing idealized trading games with deep reinforcement learning

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

A deep reinforcement learning bot that plays tetris

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

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

an implementation of CommNet

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

[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.

Deep Reinforcement Learning algorithms implemented in PyTorch

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Tensorforce: a TensorFlow library for applied reinforcement learning

No description or website provided.

Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.

RLgraph: Modular computation graphs for deep reinforcement learning

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

A deep learning library to provide algs in pure Numpy or Tensorflow.

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.

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Reinforcement Learning at UCLA IPAM RIPS 2018

Stock Trading Bot using Deep Q-Learning

A pytorch tutorial for DRL(Deep Reinforcement Learning)

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

Open-source reinforcement learning environment for autonomous racing.

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Grokking Deep Reinforcement Learning

A Reinforcement Learning Library for C++11/14

DrQ: Data regularized Q

Autonomous Drifting using Reinforcement Learning

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

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

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

PyTorch implementation of Trust Region Policy Optimization

RAD: Reinforcement Learning with Augmented Data

Simple Reinforcement Learning Framework

Distributed A3C

Persistent advantage learning dueling double DQN for the Arcade Learning Environment

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

My notes on reinforcement learning papers

PyTorch implementation of soft actor critic

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

Introduction to Deep Reinforcement Learning

Examples

Deep Planning Network: Control from pixels by latent planning with learned dynamics

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Developing a deep neural network to play a snake game

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