23 citations · 35 across the 7 of their papers we have counts for
4 papers · 1 filter
Temporally Extended Successor Representations
Matthew J. Sargent, Peter J. Bentley, Caswell Barry +1
We present a temporally extended variation of the successor representation, which we term t-SR. t-SR captures the expected state transition dynamics of temporally extended actions…
Using Forwards-Backwards Models to Approximate MDP Homomorphisms
Augustine N. Mavor-Parker, Matthew J. Sargent, Christian Pehle +3
Reinforcement learning agents must painstakingly learn through trial and error what sets of state-action pairs are value equivalent -- requiring an often prohibitively large amount…
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation
Augustine N. Mavor-Parker, Kimberly A. Young, Caswell Barry +1
Exploration in environments with sparse rewards is difficult for artificial agents. Curiosity driven learning -- using feed-forward prediction errors as intrinsic rewards -- has ac…
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster +7
Recent research developing neural network architectures with external memory have often used the benchmark bAbI question and answering dataset which provides a challenging number o…