Learning Programmatically Structured Representations with Perceptor
Gradients

Learning Programmatically Structured Representations with Perceptor Gradients

International Conference on Learning Representations (ICLR), 2019

2 May 2019

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Papers citing "Learning Programmatically Structured Representations with Perceptor Gradients"

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Title
LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning Zhuorui Ye Stephanie Milani Geoffrey J. Gordon Fei Fang OffRL 93 4 0 22 Jul 2024
A Survey on Interpretable Reinforcement LearningMachine-mediated learning (ML), 2021 Claire Glanois Paul Weng Matthieu Zimmer Dong Li Zhenxing Ge Jianye Hao Wulong Liu OffRL 187 134 0 24 Dec 2021
Neural Abstract Reasoner Victor Kolev B. Georgiev Svetlin Penkov NAI 88 10 0 12 Nov 2020
Automatic Discovery of Interpretable Planning Strategies Julian Skirzyñski Frederic Becker Falk Lieder 142 17 0 24 May 2020
Hybrid system identification using switching density networksConference on Robot Learning (CoRL), 2019 Michael G. Burke Yordan V. Hristov S. Ramamoorthy 264 13 0 09 Jul 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from VideoInternational Conference on Learning Representations (ICLR), 2019 Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 176 50 0 27 May 2019
From explanation to synthesis: Compositional program induction for learning from demonstration Michael G. Burke Svetlin Penkov S. Ramamoorthy 128 20 0 27 Feb 2019