Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation
Fig 7
Symmetric learning rule provides no advantage in generalization experiment on a directed graph.
We conducted the same kind of experiment as in Fig 5 on a directed graph. Left: The state space is tree-like, with the addition that from the leaf nodes at the last level one travels back to the central node (orange dashed line). Right: In this scenario an SR agent with the classical learning rule (blue) performs better in generalization than one with the symmetric learning rule (red).