Publications

(2024). Equivariant Action Sampling for Reinforcement Learning and Planning. In Conference Submission.

(2024). Practice Makes Perfect: Planning to Learn Skill Parameter Policies. In Conference Submission.

PDF Code Project Video

(2023). E(2)-Equivariant Graph Planning for Navigation. In RA-L 2024, Present at IROS 2024.

Project arXiv

(2023). Can Euclidean Symmetry Help in Reinforcement Learning and Planning?. In TAGML Workshop @ ICML 2023.

arXiv

(2023). Equivariant Single View Pose Prediction Via Induced and Restriction Representations. In NeurIPS 2023.

arXiv

(2022). Integrating Symmetry into Differentiable Planning with Steerable Convolutions. In ICLR 2023, RLDM 2022.

PDF Code Poster Slides ICLR page OpenReview arXiv Webpage (Available soon)

(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 (ICML) Slides (ICML oral)

(2022). Learning Symmetric Embeddings for Equivariant World Models. In ICML 2022.

PDF Code ICML Page

(2020). Model-based Navigation in Environments with Novel Layouts Using Abstract 2-D Maps. In Deep RL workshop @ NeurIPS 2020.

PDF Poster Slides Video

(2020). Deep Imitation Learning for Bimanual Robotic Manipulation. In NeurIPS 2020.

PDF Poster NeurIPS Page

(2020). Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. In WWW 2021.

PDF Video Source Document

(2019). InterFact: Towards Interactive Factorization of Actionable Entities. In preparation.