The Machine Learning in Defence Applications session covers the development and application of learning algorithms to Defence Operations, Planning and Force Structure. Methods in this session include evolutionary algorithms, automated planning methods, dynamic programming, monte-carlo tree search, deep learning, agent programming methods, non-deep multi-objective reinforcement learning, and other AI methods for machine learning. This session welcomes either theoretical or applied contributions consistent with this theme.
Key topics: Machine learning, Algorithms, Dynamic programming, AI