Ondrej Biza - Publications

On-Robot Reinforcement Learning with Goal-Contrastive Rewards

Ondrej Biza, Thomas Weng, Lingfeng Sun, Karl Schmeckpeper, Tarik Kelestemur, Yecheng Jason Ma, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong. Preprint, 2024.

arXiv

Equivariant Offline Reinforcement Learning

Arsh Tangri, Ondrej Biza, Dian Wang, David Klee, Owen Howell, Robert Platt. Preprint, 2024.

arXiv

ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter

Yaoyao Qian, Xupeng Zhu, Ondrej Biza, Shuo Jiang, Linfeng Zhao, Haojie Huang, Yu Qi, Robert Platt. In CoRL, 2024.

arXiv code website video reviews

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies

Haojie Huang, Karl Schmeckpeper, Dian Wang, Ondrej Biza, Yaoyao Qian, Haotian Liu, Mingxi Jia, Robert Platt, Robin Walters. In CoRL, 2024.

arXiv code poster website video talk

One-shot Imitation Learning via Interaction Warping

Ondrej Biza, Skye Thompson, Kishore Reddy Pagidi, Abhinav Kumar, Elise Pol, Robin Walters, Thomas Kipf, Jan-Willem van de Meent, Lawson L. S. Wong, and Robert Platt. In CoRL, 2023.

arXiv code poster slides website reviews

Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames

Ondrej Biza, Sjoerd Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, and Thomas Kipf. In ICML, 2023.

arXiv code poster slides website

Equivariant Single View Pose Prediction Via Induced and Restricted Representations

Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters. In NeurIPS, 2023.

arXiv reviews

On Robot Grasp Learning Using Equivariant Models

Xupeng Zhu, Dian Wang, Guanang Su, Ondrej Biza, Robin Walters, Robert Platt. In Autonomous Robots, 2023.

arXiv code

Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction

David M. Klee, Ondrej Biza, Robert Platt, Robin Walters. In ICLR, 2023.

arXiv code website video reviews

Spatial Symmetry in Slot Attention

Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf. In NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022.

pdf code poster reviews

I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images

David Klee, Ondrej Biza, Robert Platt, Robin Walters. In NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022.

arXiv code poster website reviews

Learning Symmetric Embeddings for Equivariant World Models

Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, and Robin Walters. In ICML, 2022.

arXiv code poster slides video

Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks

David Klee, Ondrej Biza, Robert Platt. In IROS, 2022.

arXiv code website video

Binding Actions to Objects in World Models

Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong, Thomas Kipf. In ICLR Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022.

arXiv code poster reviews

Sample Efficient Grasp Learning Using Equivariant Models

Xupeng Zhu, Dian Wang, Ondrej Biza, Guanang Su, Robin Walters, Robert Platt. In RSS, 2022.

arXiv code website video

Factored World Models for Zero-Shot Generalization in Robotic Manipulation

Ondrej Biza, Thomas Kipf, David Klee, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong. In RLDM, 2022.

arXiv

The Impact of Negative Sampling on Contrastive Structured World Models

Ondrej Biza, Elise van der Pol, Thomas Kipf. In ICML Workshop: Self-Supervised Learning for Reasoning and Perception, 2021.

arXiv code poster

Action Priors for Large Action Spaces in Robotics

Ondrej Biza, Dian Wang, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong. In AAMAS, 2021.

arXiv code

Learning Discrete State Abstractions with Deep Variational Inference

Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong. In the 3rd Symposium on Advances in Approximate Bayesian Inference, 2020.

arXiv code poster reviews

Online Abstraction with MDP Homomorphisms for Deep Learning

Ondrej Biza, Robert Platt. In AAMAS, 2019.

arXiv code poster

Comparing Offline and Online Evaluation Results of Recommender Systems

Tomas Rehorek, Ondrej Biza, Radek Bartyzal, Pavel Kordik, Ivan Povalyev, Ondrej Podsztavek. In RecSys REVEAL Workshop, 2018.

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