1164 Open source projects that are alternatives of or similar to Drivebot

Actor-Critic Instance Segmentation (CVPR 2019)

Robot-centric elevation mapping for rough terrain navigation

Monthly Series - Top 10 Machine Learning Articles

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

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

ARDrone autonomous indoor navigation by integrating lsd-slam with imu through least square method

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

Simulation of spiking neural networks (SNNs) using PyTorch.

Package to simulate Neobotix robots

Quiz & Assignment of Coursera

DISCONTINUED - MIGRATED TO TIANRACER - A Low cost Autonomous Driving Car Educational and Competition Kit

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

Hearthstone simulator using C++ with some reinforcement learning

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Reinforcement Learning Algorithms

A C++ framework for MDPs and POMDPs with Python bindings

HandsFree OpenRE Tutorial

SMAC: The StarCraft Multi-Agent Challenge

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Learning to trade under the reinforcement learning framework

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

QuickMCL - Monte Carlo localisation for ROS

My Exploration on Deep Reinforcement Learning Survey

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Deep Reinforcement Learning Framework + Algorithms

CHAMP Package Config Generator

A light-weight, Eigen-based C++ library for trajectory optimization for legged robots.

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Transfer Learning Library

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

Deep Q-learning for playing flappy bird game

Behavior Optimization and Learning for Robots

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

Advanced Deep Learning with Keras, published by Packt

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

Reinforcement learning with unsupervised auxiliary tasks

A set of launch files and configuration files for Plymouth University's Pepper robot

ROS wrapper for OpenPose

TensorFlow ImageNet demo using ROS sensor_msgs/Image

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Docker images for ROS master, bridge and nodes

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

Obstacle Tower Environment

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

Implementation of Scheduled Policy Optimization for task-oriented language grouding

Self-driving car simulator for the Duckietown universe

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Interactive Map Correction for 3D Graph SLAM

真AI人工智能

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

Flappy Bird hack using Reinforcement Learning

Open-source software for self-driving vehicles

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Basic reinforcement learning implementation with tensorflow version 2.0