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Lingzhi Kong

2 accepted papers

2023

Integrating Symmetry into Differentiable Planning with Steerable Convolutions

ICLR 2023poster

To achieve this, we draw inspiration from equivariant convolution networks and model the path planning problem as a set of signals over grids. We demonstrate that value iteration can be treated as a linear equivariant operator, which is effectively a steerable convolution. Building upon Value Iterat…

Cited by 14SourcePDFScholar
2022

Toward Compositional Generalization in Object-Oriented World Modeling

ICML 2022oral

Compositional generalization is a critical ability in learning and decision-making. We focus on the setting of reinforcement learning in object-oriented environments to study compositional generalization in world modeling. We (1) formalize the compositional generalization problem with an algebraic a…

Cited by 28SourcePDFScholar