The successor representation was introduced into reinforcement learning by Dayan as a
means of facilitating generalization between states with similar successors. Although
reinforcement learning in general has been used extensively as a model of psychological
and neural processes, the psychological validity of the successor representation has yet to
be explored. An interesting possibility is that the successor representation can be used not
only for reinforcement learning but for episodic learning as well. Our main contribution is to …

The successor representation was introduced into reinforcement learning by Dayan (1993)
as a means of facilitating generalization between states with similar successors. Although
reinforcement learning in general has been used extensively as a model of psychological
and neural processes, the psychological validity of the successor representation has yet to
be explored. An interesting possibility is that the successor representation can be used not
only for reinforcement learning, but for episodic learning as well. Our main contribution is to …