The goal of this project is to train an open-source 3D printed quadruped robot exploring
Reinforcement Learning and
OpenAI Gym . The aim is to let the robot learns domestic and generic tasks in the simulations and then successfully transfer the knowledge (
Control Policies ) on the real robot without any other manual tuning.
This project is mostly inspired by the incredible works done by Boston Dynamics.
This repository contains different
OpenAI Gym Environments used to train Rex, the Rex URDF model, the learning agent and some scripts to start the training session and visualize the learned
Control Polices .
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