An educational resource to help anyone learn deep reinforcement learning.

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

Repository for most of the code from my YouTube channel

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…

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.

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

ROS Robotic Deep Learning

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

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

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