572 Open source projects that are alternatives of or similar to Sumo Rl

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

PyTorch Implementation of REINFORCE for both discrete & continuous control

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

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

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

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

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

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

An OpenAI-gym-like environment for Little Fighter 2

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

DrQ: Data regularized Q

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

Explore and find reinforcement learning environments in a list of 150+ open source environments.

Sokoban environment for OpenAI Gym

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

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

MuZero

OpenAI Gym wrapper for the DeepMind Control Suite

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

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

A Trading environment base on Gym

AI research environment for the Atari 2600 games 🤖.

Unreal environments for reinforcement learning

Structural implementation of RL key algorithms

A collection of multi agent environments based on OpenAI gym.

Reinforcement Learning Algorithms

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

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

Teach a Quadcopter How to Fly!

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Flappy Bird AI using Evolution Strategies

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Deep Reinforcement Learning (DRL) agents applied to medical images

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

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

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

A repo for data science related questions and answers

Safe reinforcement learning with stability guarantees

🚗 Rocket League Distributed Deep Reinforcement Learning Bot

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

ROS 2 enabled Machine Learning algorithms

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

Clone of OpenAI's Spinning Up in PyTorch

Resources, papers, tutorials

Complete-Life-Cycle-of-a-Data-Science-Project

Coding Demos from the School of AI's Move37 Course

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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

Reinforcement Learning in Keras on VizDoom

in progress