![Reinforcement Learning for Engineers, Part 4: The Walking Robot Problem Reinforcement Learning for Engineers, Part 4: The Walking Robot Problem](/sites/default/files/styles/journey_thumbnail/public/2020-12/hqdefault_25.jpg?itok=otZ_blQL)
This video shows how to use the reinforcement learning workflow to get a bipedal robot to walk. It also looks at how to modify the default example to make it look more like how one would set up a traditional control problem by adding a reference signal. It will also consider how an RL-equipped agent can replace parts of a traditional control system rather than an end-to-end design. Finally, some of the limitations of this design will be shown.