Simulations combining evolution and learning
Michael L. Littman · 1996
This paper addresses the issue of how computational versions of learning and evolution have been made to interact in simulated systems. It examines various benefits of such combinations and details how supervised learning, reinforcement learning, and unsupervised learning can be adapted to fit into an evolutionary framework. 2 Evolution and Learning