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

Carefully curated resource links for data science in one place

A curated list of Deep Learning

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Proximal Policy Optimization implementation with TensorFlow

Computational framework for reinforcement learning in traffic control

This is Andrew NG Coursera Handwritten Notes.

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

A Platform for Many-agent Reinforcement Learning

Reversi reinforcement learning by AlphaGo Zero methods.

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

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Asynchronous Methods for Deep Reinforcement Learning

Input Convex Neural Networks

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Grid2Op a testbed platform to model sequential decision making in power systems.

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

An open source framework for research in Embodied-AI from AI2.

Guided Policy Search

Simple tools for logging and visualizing, loading and training

Implementations of selected inverse reinforcement learning algorithms.

Tensorflow implementation of generative adversarial imitation learning

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning

Hearthstone simulator using C++ with some reinforcement learning

Repository to accompany RSS 2018 paper on dexterous hand manipulation

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

BabyAI platform. A testbed for training agents to understand and execute language commands.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Open Machine Learning course at MIPT

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.

Implementations of Reinforcement Learning Models in Tensorflow

A JavaScript deep learning and reinforcement learning library.

Reinforcement Learning for WeChat Jump

Safe reinforcement learning with stability guarantees

Arnold - DOOM Agent

Reinforcement learning tutorials

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

中国象棋alpha zero程序

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

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

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

A Multi-agent Learning Framework

Our NIPS 2017: Learning to Run source code

A library of reinforcement learning components and agents

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Code for paper "End-to-End Reinforcement Learning for Automatic Taxonomy Induction", ACL 2018

Tic Tac Toe Machine Learning

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.