[Re] Better transfer learning with inferred successor maps

Matthew Slivinski, Alana Jaskir, Aaron Traylor

Abstract: We reproduced findings of the original paper that proposed an algorithm for multitask learning by combining the successor representation with task evaluation through non-parametric inference over various domains.

Track: Replicability

NeurIPS Paper Id: https://openreview.net/forum?id=BygS0EHeIS