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Patrick M. Pilarski

1 accepted papers

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…

Cited by 11SourceScholar