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

A universal flight control tuning framework

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Solving OpenAI Gym problems.

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

Python library for Reinforcement Learning.

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

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Minimalistic gridworld package for OpenAI Gym

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

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A collection of multi agent environments based on OpenAI gym.

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

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

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Gridworld environments for OpenAI gym.

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

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

OpenAI Gym wrapper for the DeepMind Control Suite

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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

Implementations of deep RL papers and random experimentation

OpenAI's cartpole env solver.

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

Collection of Deep Reinforcement Learning algorithms

OpenAI Gym environments using DART

Self-driving car simulator for the Duckietown universe

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Simple 3D interior simulator for RL & robotics research

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

A3C LSTM Atari with Pytorch plus A3G design

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

An OpenAI Gym Env for Panda

Scalable, event-driven, deep-learning-friendly backtesting library

Framework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo

🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

A reinforcement learning package for Julia

Code for the paper "Evolved Policy Gradients"

Train an RL agent to localize actively (PyTorch)

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

《Reinforcement Learning: An Introduction》（第二版）中文翻译

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

Unreal environments for reinforcement learning

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Framework for Multi-Agent Deep Reinforcement Learning in Poker

Sokoban environment for OpenAI Gym

Summaries of the papers that are discussed by VLG.

Q-Learning Based Cryptocurrency Trader and Portfolio Optimizer for the Poloniex Exchange