671 Open source projects that are alternatives of or similar to Neurojs

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

A reinforcement learning environment for self-driving cars in the browser.

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

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

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

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

Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning

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.

Deep Q-learning for playing flappy bird game

Reinforced Recommendation toolkit built around pytorch 1.7

Self-driving car simulator for the Duckietown universe

Deep Reinforcement Learning Framework + Algorithms

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Python library for Reinforcement Learning.

Advanced lane detection using computer vision

How to use TensorLayer

🤖 Deep Reinforcement Learning Chatbot

PyTorch C++ Reinforcement Learning

Quiz & Assignment of Coursera

SMAC: The StarCraft Multi-Agent Challenge

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

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

Accompanying repository for Let's make a DQN / A3C series.

无人驾驶的资源列表中文版

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

My Exploration on Deep Reinforcement Learning Survey

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

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

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

Reinforcement Learning for Portfolio Management

Arnold - DOOM Agent

Multiple implementations for abstractive text summurization , using google colab

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

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

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..

Implementation of Meta-RL A3C algorithm

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

Structural implementation of RL key algorithms

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

A curated list of awesome self-supervised methods

Python implementations of contextual bandits algorithms

TensorFlow2 Reinforcement Learning

Learning to trade under the reinforcement learning framework

Reinforcement learning with unsupervised auxiliary tasks

repository to research & share the machine learning articles

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

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

A PyTorch library for building deep reinforcement learning agents.

Paper reading notes on Deep Learning and Machine Learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Poker engine for poker AI development in Python

Simple 3D interior simulator for RL & robotics research

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

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

A curated list of Monte Carlo tree search papers with implementations.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)