Search Results for author: Tom McGrath

Found 5 papers, 1 papers with code

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

no code implementations25 Oct 2023 Lisa Schut, Nenad Tomasev, Tom McGrath, Demis Hassabis, Ulrich Paquet, Been Kim

Artificial Intelligence (AI) systems have made remarkable progress, attaining super-human performance across various domains.

Game of Chess

Meta-trained agents implement Bayes-optimal agents

no code implementations NeurIPS 2020 Vladimir Mikulik, Grégoire Delétang, Tom McGrath, Tim Genewein, Miljan Martic, Shane Legg, Pedro A. Ortega

Memory-based meta-learning is a powerful technique to build agents that adapt fast to any task within a target distribution.


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