Teaching parkour to a virtual human is a challenging task. The virtual human needs to learn how to move like a real human and also be able to adapt to new situations. A new technique is being developed to solve this problem. It uses a combination of machine learning and reinforcement learning to teach the virtual human how to move and adapt.
The new technique is tested on different levels, and it shows promising results. The virtual human can solve levels like a ninja and adapt to new obstacle arrangements. The technique uses a judge to evaluate the virtual human's movements and give it feedback. The virtual human and the judge keep improving together, and the results are stunning.
The secret to this new technique is that it learns in two classrooms at the same time. One classroom teaches it to copy human movement, and the other teaches it to solve new obstacle courses. The AI controller learns from both classrooms and gets better at moving like a human. The technique is still in its early stages, but it has the potential to revolutionize the field of artificial intelligence. The research paper is available for free, and this knowledge can be used by everyone.
