2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation
IROS 2018poster
We propose using the Successor Representation (SR) to accelerate learning in a constructive knowledge system based on General Value Functions (GVFs). In real-world settings, like robotics for unstructured and dynamic environments, it is impossible to model all meaningful aspects of a system and its…