Search Results for author: Jonathan J. Hunt

Found 6 papers, 3 papers with code

Composing Entropic Policies using Divergence Correction

no code implementations5 Dec 2018 Jonathan J. Hunt, Andre Barreto, Timothy P. Lillicrap, Nicolas Heess

Composing previously mastered skills to solve novel tasks promises dramatic improvements in the data efficiency of reinforcement learning.

continuous-control Continuous Control +2

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes

no code implementations NeurIPS 2016 Jack W. Rae, Jonathan J. Hunt, Tim Harley, Ivo Danihelka, Andrew Senior, Greg Wayne, Alex Graves, Timothy P. Lillicrap

SAM learns with comparable data efficiency to existing models on a range of synthetic tasks and one-shot Omniglot character recognition, and can scale to tasks requiring $100,\! 000$s of time steps and memories.

Ranked #6 on Question Answering on bAbi (Mean Error Rate metric)

Language Modeling Language Modelling +3

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