On Intrinsic Rewards and Continual Learning
Continual learning is the problem faced by intelligent agents of the sort that people and other animals are, that of learning increasingly complex skills and knowledge over time from experience, of becoming increasingly competent over…
Learning from Source Code
Over the last five years, deep learning-based methods have revolutionised a wide range of applications, for example those requiring understanding of pictures, speech and natural language. For computer scientists, a naturally arising question is whether…
Neural-Guided Deductive Search: A best of both worlds approach to program synthesis
Program synthesis — automatically generating a program that satisfies a given specification — is a major challenge in AI. In addition to changing the way we design software, it has the potential to revolutionize task…
Learning to Represent Programs with Graphs Dataset – ICLR 2018
This download contains the graphs (parsed source code) for the open-source projects used in the ICLR 2018 paper “Learning to Represent Programs with Graphs”. In this work, we present how to construct graphs from source…