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20102024
most citedA Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

2.1k citations · 9.2k across the 77 of their papers we have counts for

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Showing 2019 · cs.AIShow all

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cs.AI2019★ 19 cited

Learning Compositional Neural Programs with Recursive Tree Search and Planning

Thomas Pierrot, Guillaume Ligner, Scott Reed +6

We propose a novel reinforcement learning algorithm, AlphaNPI, that incorporates the strengths of Neural Programmer-Interpreters (NPI) and AlphaZero. NPI contributes structural bia…