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Ondrej Biza

On-Robot Reinforcement Learning with Goal-Contrastive Rewards
ThinkGrasp: A Vision-Language System for Strategic Part Grasping in Clutter
IMAGINATION POLICY: Using Generative Point Cloud Models for Learning Manipulation Policies
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
One-shot Imitation Learning via Interaction Warping
On Robot Grasp Learning Using Equivariant Models
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Learning Symmetric Embeddings for Equivariant World Models
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks
Binding Actions to Objects in World Models
Sample Efficient Grasp Learning Using Equivariant Models
Binding Actions to Objects in World Models
Action Priors for Large Action Spaces in Robotics
Learning Discrete State Abstractions With Deep Variational Inference
Online Abstraction with MDP Homomorphisms for Deep Learning

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