Deep learning helped interpret the features on the screen, and reinforcement learning rewarded the system for higher scores.

For further information on the exploration/exploitation trade off, see reinforcement learning.

Two of the common theories are action selection and reinforcement learning.

His particular research interests are reinforcement learning, episodic memory, semantic memory, and emotion-inspired processing.

The group has applied a variety of machine learning algorithms, such as reinforcement learning and genetic programming, to improve adaptiveness and autonomy of robotic systems.