Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

[RSS 2024]: Expressive Whole-Body Control for Humanoid Robots

Project Page for Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

An educational resource to help anyone learn deep reinforcement learning.

A repo of the code used to implement self exploration on a ClearPath Jackal robot

ROS Node and Costmap 2D plugin layer for frontier exploration

ROS Robotic Deep Learning

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.

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.

Exploration package that enables autonomous mapping of an area. Works as an overlay on the ROS Navstack. Configured for running on Jackal UGV.

Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

Repository for most of the code from my YouTube channel