Search Results for author: Sean Lamont

Found 3 papers, 1 papers with code

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

no code implementations6 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.

Automated Theorem Proving Benchmarking

Generalised Discount Functions applied to a Monte-Carlo AImu Implementation

1 code implementation3 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.

General Reinforcement Learning reinforcement-learning +1

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