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human-priors-and-deep-reinforcement-learning-for_video-games

Computational Cognitive modelling, Reinforcement Learning NYU Spring 2020, Dr Brenden Lake and Dr. Todd Gureckis.

iboat-pmcts

A Parallel Monte-Carlo Tree Search using multiprocessing and real weather forecasts to address long-term optimal path planning under uncertainty for autonomous sailboat

information_cpp

杂草论文

informative-path-planning

Informative path planning repository

informative-path-planning-1

The Informative Path Planning problem is to find some path that maximizes information gain subject to a set of constraints. In this project we are trying to learn some arbitrary 2D field (a temperature or topography map).

iris3dr_energy_model

Accurate energy model for a IRIS 3DR quadrotor

lidar-montecarlo-pathplanning

CS 598 Final Project: Self Driving using Path Planning with Monte Carlo Tree Search on Lidar Data

livox_mapping

A mapping package for Livox LiDARs

mars-search-robot

Autonomous search and retrieval of samples of interest on a simulated Martian terrain

mbplanner_ros

Motion-primitives Based Planner for Fast & Agile Exploration

mcts-nnet

Monte Carlo Tree Search with Reinforcement Learning for Motion Planning

mgp_planner

Online Informative Path Planning for Active Information Gathering of a 3D Surface

minicar

mipp

Model-based Informative Path Planning for Benthic Habitat Mapping

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

pareto-mcts

Python demo for the paper "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning".

path_planning_algorithm_train

some algorithm

pwc

Papers with code. Sorted by stars. Updated weekly.

python_note

python编程中一些常用的函数笔记

pythonrobotics

Python sample codes for robotics algorithms.

ros_autonomous_slam

ROS package which uses the Navigation Stack to autonomously explore an unknown environment with help of GMAPPING and constructs a map of the explored environment. Finally, a path planning algorithm from the Navigation stack is used in the newly generated map to reach the goal. The Gazebo simulator is used for the simulation of the Turtlebot3 Waffle Pi robot. Various algorithms have been integrated for Autonomously exploring the region and constructing the map with help of the 360-degree Lidar sensor. Different environments can be swapped within launch files to generate a map of the environment.

ros_command

ros一些指令

rrdt

Rapidly-exploring Random disjointed-Trees for Motion Planning

rss2020-online-domain-adaptation-pot

Repository for the paper "Online Domain Adaptation for Occupancy Mapping", RSS 2020

sampling_based_planners

This is a library for some of sampling-based motion planning algorithms implemented in MATLAB.

spearmint

Spearmint Bayesian optimization codebase

spgp_py

stoec

This repository contains codes for the IROS2017 paper "Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization"

stoec_planner

Codes for the IROS2017 E. Ayvali ,H. Salman, H. Choset, "Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization"

sze-academic-robotics-projects

Various robotics related projects in various programming languages (MATLAB, LabVIEW, C#) and techniques (V-REP, ROS, LEGO Mindstorms, Kinect, Neobotix).