Publications

Linfeng Zhao, Huazhe Xu, Lawson L.S. Wong (2022). Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation. In ICLR 2023.

Linfeng Zhao, Aswin Shriram Thiagarajan, Lawson L.S. Wong (2022). Learning to Navigate in Mazes with Novel Layouts Using Abstract Top-down Maps. Under Conference Review.

(Extended version coming soon)

Linfeng Zhao, Xupeng Zhu, Lingzhi Kong, Robin Walters, Lawson L.S. Wong (2022). Integrating Symmetry into Differentiable Planning with Steerable Convolutions. In ICLR 2023, RLDM 2022.

PDF Webpage (Available soon) OpenReview

Linfeng Zhao, Lingzhi Kong, Robin Walters, Lawson L.S. Wong (2022). Toward Compositional Generalization in Object‑Oriented World Modeling. In ICML 2022 (Long Presentation, 2.1%), RLDM 2022.

PDF Code ICML Page Website (Available soon) Poster (RLDM, v1) Poster (ICML, v2)

Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters (2022). Learning Symmetric Embeddings for Equivariant World Models. In ICML 2022.

PDF Code ICML Page

Linfeng Zhao, Lawson L.S. Wong (2020). Model-based Navigation in Environments with Novel Layouts Using Abstract 2-D Maps. In Deep RL workshop at NeurIPS 2020.

PDF Poster Slides Video

Fan Xie, Alexander Chowdhury, M. Clara De Paolis Kaluza, Linfeng Zhao, Lawson L.S. Wong, Rose Yu (2020). Deep Imitation Learning for Bimanual Robotic Manipulation. In NeurIPS 2020.

PDF Poster NeurIPS Page

Linfeng Zhao, Ziyan Luo, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang (2020). Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. In WWW 2021.

PDF Video Source Document

Linfeng Zhao, Hao Su (2019). InterFact: Towards Interactive Factorization of Actionable Entities. In preparation.