Wong, Lawson L.S.

17 publications

AISTATS 2025 Approximate Equivariance in Reinforcement Learning Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L.S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters

CVPR 2025 Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation Yu Qi, Yuanchen Ju, Tianming Wei, Chi Chu, Lawson L.S. Wong, Huazhe Xu

ICLRW 2023 $\mathrm{SE}(3)$ Frame Equivariance in Dynamics Modeling and Reinforcement Learning Linfeng Zhao, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

ICMLW 2023 Can Euclidean Symmetry Help in Reinforcement Learning and Planning Linfeng Zhao, Owen Lewis Howell, Jung Yeon Park, Xupeng Zhu, Robin Walters, Lawson L.S. Wong

ICLR 2023 Integrating Symmetry into Differentiable Planning with Steerable Convolutions Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L.S. Wong

CoRL 2023 One-Shot Imitation Learning via Interaction Warping Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise van der Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, Robert Platt

ICLR 2023 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong

ICLR 2023 The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L.S. Wong, Robin Walters, Robert Platt

NeurIPSW 2023 Vision-and-Language Navigation in Real World Using Foundation Models Chengguang Xu, Hieu Trung Nguyen, Christopher Amato, Lawson L.S. Wong

ICLRW 2022 Binding Actions to Objects in World Models Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L.S. Wong, Thomas Kipf

NeurIPSW 2022 Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong

ICML 2022 Toward Compositional Generalization in Object-Oriented World Modeling Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L.S. Wong

AAAI 2019 State Abstraction as Compression in Apprenticeship Learning David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong

IJCAI 2016 Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling

AAAI 2014 A Model Attention and Selection Framework for Estimation of Many Variables, with Applications to Estimating Object States in Large Spatial Environments Lawson L. S. Wong

AAAI 2014 Living and Searching in the World: Object-Based State Estimation for Mobile Robots Lawson L. S. Wong

AAAI 2008 Learning Grasp Strategies with Partial Shape Information Ashutosh Saxena, Lawson L. S. Wong, Andrew Y. Ng