Filip Połatyński

End-to-End Control of a Quadruped Robot Using Deep Reinforcement Learning

This paper presents the development and implementation of an end-to-end control framework for a quadruped walking robot based on deep reinforcement learning. The primary objective of the study is to design and verify a control system capable of autonomously generating locomotion strategies. A model of the walking robot...