Nicolas Heess mainly focuses on Artificial intelligence, Reinforcement learning, Control, Set and Machine learning. His Artificial intelligence research includes themes of Structure and Computation. His Reinforcement learning research is multidisciplinary, incorporating elements of Domain, Robot, Image resolution and Contextual image classification.