Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning

Members of the AIRL lab at Imperial College, and authors of the reported work in this blog post. From left to right: Bryan Lim, Dr Antoine Cully (director of the AIRL lab), Manon Flageat, Luca Grillotti, Dr Simón C Smith, and Maxime Allard. Learning and finding different solutions to the same problem is commonly associated with creativity and adaptation, which are important characteristics of intelligence. In the AIRL lab at Imperial College, we believe in the importance of diversity in learning algorithms. With this focus in mind, we develop learning algorithms known as Quality-Diversity algorithms.