611 Open source projects that are alternatives of or similar to Ns3 Gym

A structured implementation of MuZero

Machine learning, in numpy

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Sokoban environment for OpenAI Gym

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Reinforcement Learning Algorithms

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

Flappy Bird hack using Reinforcement Learning

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

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Notes and comments about Deep Reinforcement Learning papers

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

tensorflow deep RL for driving a rover around

🙄 Difficult algorithm, Simple code.

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

The Machine Learning Toybox for testing the behavior of autonomous agents.

Reinforcement Learning Cheat Sheet

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

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

This repository features game simulations as machine learning environments to experiment with deep learning approaches such as deep reinforcement learning inside of Unity.

Highly Modular and Scalable Reinforcement Learning

Advanced Deep Learning with Keras, published by Packt

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Implementation of Scheduled Policy Optimization for task-oriented language grouding

A framework using TensorFlow.js for Deep Reinforcement Learning

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Aim — a super-easy way to record, search and compare 1000s of ML training runs

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

AI斗地主

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

A Python interface for reinforcement learning environments

Learning from zero (mostly based off of AlphaZero) in General Game Playing.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

POMDPs in Python.

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

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

An open-source 3D-printed quadrupedal robot. Intuitive gait generation through 12-DOF Bezier Curves. Full 6-axis body pose manipulation. Custom 3DOF Leg Inverse Kinematics Model accounting for offsets.

Initiative to read research papers

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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

Learning human driver models from NGSIM data with imitation learning.

A PyTorch implementation of Rainbow DQN agent

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Reinforcement Learning and Transfer Learning based StarCraft Micromanagement

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

ProMP: Proximal Meta-Policy Search

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Carefully curated resource links for data science in one place

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

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

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"