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Found 4 papers, 2 papers with code
Efficient Architecture Search for Diverse Tasks
While neural architecture search (NAS) has enabled automated machine learning (AutoML) for well-researched areas, its application to tasks beyond computer vision is still under-explored.
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation
To mitigate these issues, we propose a theoretically principled nearest neighbor (NN) function approximator that can improve the value networks in deep RL methods.
Iterative Teacher-Aware Learning
Recently, the benefits of integrating this cooperative pedagogy into machine concept learning in discrete spaces have been proved by multiple works.
Emergence of Pragmatics from Referential Game between Theory of Mind Agents
Pragmatics studies how context can contribute to language meanings.
