Generalisation

…Examples in generalisation and privacy illustrate how these perspectives could narrow the gap between theory and empirical practice and create new mathematical questions.

The ability to continually adapt to the environment is key for survival. How the brain learns continuously while retaining previous knowledge is not known. Using a combination of neural and behavioural data analysis together with deep learning modelling, we studied the role of the hippocampus in continual spatial reinforcement learning. First, we introduce a deep recurrent Q-learning agent consistent with the hippocampal architecture (hcDRQN) along with three control models: a non-recurrent model (hcDQN) and two standard machine continual learning algorithms. We trained all these reinforcement