no code implementations • 14 Oct 2024 • Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish
We first demonstrate that it is possible to generate semantically aware tactic representations which capture the effect on the proving environment, likelihood of success and execution time.
no code implementations • 6 Mar 2024 • Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
We also provide a qualitative analysis, illustrating that improved performance is associated with more semantically-aware embeddings.
no code implementations • 10 Sep 2019 • Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T. Dean, Alexander Hunter, Charles Gretton, Christian Walder
We address the problem of combining sequence models of symbolic music with user defined constraints.
1 code implementation • 3 Mar 2017 • Sean Lamont, John Aslanides, Jan Leike, Marcus Hutter
We have added to the GRL simulation platform AIXIjs the functionality to assign an agent arbitrary discount functions, and an environment which can be used to determine the effect of discounting on an agent's policy.