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Nicolas Perrin

1 accepted papers

2019

Learning Compositional Neural Programs with Recursive Tree Search and Planning

NeurIPS 2019spotlight

We propose a novel reinforcement learning algorithm, AlphaNPI, that incorpo- rates the strengths of Neural Programmer-Interpreters (NPI) and AlphaZero. NPI contributes structural biases in the form of modularity, hierarchy and recursion, which are helpful to reduce sample complexity, improve general…