“Deep NeuroEvolution: A Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning”
“The quest to evolve and optimize artificial neural networks through evolutionary computation.”
In last two years, the use of deep neuroevolution has enabled researchers to extend reinforcement learning techniques to solve increasingly complex learning tasks. The emerging field of deep neuroevolution has led to remarkable empirical results in rich and varied domains like strategy games and robotics. This workshop will bring together researchers working at the intersection of deep learning, evolutionary computation, optimization and reinforcement learning, and it will help interested researchers outside of the field gain a high-level view about the current state of the art and potential directions for future contributions.