Behavioral animation of autonomous virtual agents helped by reinforcement learning

Our research focuses on the behavioral animation of virtual humans who are capable of taking actions by themselves. We deal more specifically with reinforcement learning methodologies, which integrate in an original way the RL agent and the autonomous virtual agent in a virtual environment. With the help of a virtual environment in the form of a town, we demonstrate that it is indeed the learning process and not the optimization of RL, which is used by the AVAs