8 citations · 25 across the 9 of their papers we have counts for
4 papers · 1 filter
Toward Enactive Artificial Intelligence
Banafsheh Rafiee, Richard Sutton
In this paper, we advocate for incorporating enactive approaches to perception and cognition into artificial intelligence (AI). Enactive approaches view perception as an active, sk…
What makes useful auxiliary tasks in reinforcement learning: investigating the effect of the target policy
Banafsheh Rafiee, Jun Jin, Jun Luo +1
Auxiliary tasks have been argued to be useful for representation learning in reinforcement learning. Although many auxiliary tasks have been empirically shown to be effective for a…
From Eye-blinks to State Construction: Diagnostic Benchmarks for Online Representation Learning
Banafsheh Rafiee, Zaheer Abbas, Sina Ghiassian +4
We present three new diagnostic prediction problems inspired by classical-conditioning experiments to facilitate research in online prediction learning. Experiments in classical co…
A First Empirical Study of Emphatic Temporal Difference Learning
Sina Ghiassian, Banafsheh Rafiee, Richard S. Sutton
In this paper we present the first empirical study of the emphatic temporal-difference learning algorithm (ETD), comparing it with conventional temporal-difference learning, in par…