Create HTML profiling reports from pandas DataFrame objects

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Visualize and compare datasets, target values and associations, with one line of code.

A game of lonely space adventure

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

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

[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Planning for robotic exploration based on forward simulation

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

Agents that build knowledge graphs and explore textual worlds by asking questions

HouseExpo: A Large-scale 2D Indoor Layout Dataset

Exploration Strategies for Deep Reinforcement Learning

Open Semantic Visual Linked Data Graph Explorer: Open Source tool (web app) and user interace (UI) for discovery, exploration and visualization of direct and indirect connections between named entities like persons, organizations, locations & concepts from thesarus or ontologies within your documents and knowledgegraph

This work contains a modified version of cartographer_frontier_detection and rrt_exploration. We implement an active exploration process and improve its robustness and performance. More details are described in the paper "Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration" (IROS2020).

Painless parameter handling for easy exploration

Safe Exploration with MPC and Gaussian process models

Hector Quadrotor with MoveIt! Motion Planning Framework

Sidekick Policy Learning for Active Visual Exploration (ECCV 2018)

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

[ICLR 2020] Learning to Move with Affordance Maps 🗺️🤖💨

🚁〰️ Drone SLAM project for Caltech's ME 134 Autonomy class.

Micvision package provide exploration and location for robot using navigation and cartographer packages

Dennis MUD

QGIS plugin for geology and exploration. Drill hole desurvey/display and other utilities.

An A* (A Star) Pathfinding Demonstration using Python and PyGame

Autonomous Exploration, Mapping and Path-Planning using Octomap