1 code implementation • 19 Mar 2024 • Samuel Coward, Michael Beukman, Jakob Foerster
We present JaxUED, an open-source library providing minimal dependency implementations of modern Unsupervised Environment Design (UED) algorithms in Jax.
1 code implementation • 26 Feb 2024 • Michael Matthews, Michael Beukman, Benjamin Ellis, Mikayel Samvelyan, Matthew Jackson, Samuel Coward, Jakob Foerster
Either they are too slow for meaningful research to be performed without enormous computational resources, like Crafter, NetHack and Minecraft, or they are not complex enough to pose a significant challenge, like Minigrid and Procgen.
1 code implementation • 19 Feb 2024 • Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob Foerster
In this work, we introduce Bayesian level-perfect MMR (BLP), a refinement of the minimax regret objective that overcomes this limitation.
no code implementations • 15 Aug 2023 • Jianyi Cheng, Samuel Coward, Lorenzo Chelini, Rafael Barbalho, Theo Drane
We propose a super-optimization approach for HLS that automatically rewrites an arbitrary software program into efficient HLS code that can be used to generate an optimized hardware design.
1 code implementation • 17 Mar 2022 • Samuel Coward, George A. Constantinides, Theo Drane
Recent e-graph applications have typically considered concrete semantics of expressions, where the notion of equivalence stems from concrete interpretation of expressions.
1 code implementation • 2 Oct 2020 • Samuel Coward, Erik Visse-Martindale, Chithrupa Ramesh
In machine learning, no data point stands alone.