Cover Image

Object-Centric Latent Action Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Klepach, Albina, Nikulin, Alexander, Zisman, Ilya, Tarasov, Denis, Derevyagin, Alexander, Polubarov, Andrei, Lyubaykin, Nikita, Kiselev, Igor, Kurenkov, Vladislav
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Vision-Language Models Unlock Task-Centric Latent Actions
by: Nikulin, Alexander, et al.
Published: (2026)

NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
by: Tarasov, Denis, et al.
Published: (2025)

Latent Action Learning Requires Supervision in the Presence of Distractors
by: Nikulin, Alexander, et al.
Published: (2025)

Yes, Q-learning Helps Offline In-Context RL
by: Tarasov, Denis, et al.
Published: (2025)

Vintix: Action Model via In-Context Reinforcement Learning
by: Polubarov, Andrey, et al.
Published: (2025)

N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs
by: Zisman, Ilya, et al.
Published: (2024)

cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning
by: Kolodiazhnyi, Maksim, et al.
Published: (2025)

Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner
by: Polubarov, Andrei, et al.
Published: (2026)

In-Context Reinforcement Learning for Variable Action Spaces
by: Sinii, Viacheslav, et al.
Published: (2023)

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning
by: Nikulin, Alexander, et al.
Published: (2024)

Emergence of In-Context Reinforcement Learning from Noise Distillation
by: Zisman, Ilya, et al.
Published: (2023)

Zero-Shot Adaptation of Behavioral Foundation Models to Unseen Dynamics
by: Bobrin, Maksim, et al.
Published: (2025)

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
by: Nikulin, Alexander, et al.
Published: (2023)

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
by: Singh, Krishnakant, et al.
Published: (2024)

ABRA: Agent Benchmark for Radiology Applications
by: Maksudov, Bulat, et al.
Published: (2026)

Are We Done with Object-Centric Learning?
by: Rubinstein, Alexander, et al.
Published: (2025)

Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition
by: Li, Xunsong, et al.
Published: (2024)

Object-Centric Action-Enhanced Representations for Robot Visuo-Motor Policy Learning
by: Giannakakis, Nikos, et al.
Published: (2025)

ECHO: Ego-Centric modeling of Human-Object interactions
by: Petrov, Ilya A., et al.
Published: (2025)

Learning Action-Conditional and Object-Centric Gaussian Splatting World Models for Rigid Objects
by: Kreber, Jens U., et al.
Published: (2026)

PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
by: Villar-Corrales, Angel, et al.
Published: (2025)

OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-to-Robot Action Transfer
by: Wang, Kuanning, et al.
Published: (2026)

RealStats: A Rigorous Real-Only Statistical Framework for Fake Image Detection
by: Zisman, Haim, et al.
Published: (2026)

Cycle Consistency in Video Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2026)

Neurosymbolic Object-Centric Learning with Distant Supervision
by: Colamonaco, Stefano, et al.
Published: (2025)

Boundary-Centric Active Learning for Temporal Action Segmentation
by: Helvaci, Halil Ismail, et al.
Published: (2026)

Scale-wise Distillation of Diffusion Models
by: Starodubcev, Nikita, et al.
Published: (2025)

Weak-to-Strong 3D Object Detection with X-Ray Distillation
by: Gambashidze, Alexander, et al.
Published: (2024)

Top-Down Guidance for Learning Object-Centric Representations
by: Zou, Junhong, et al.
Published: (2024)

Compositional Video Synthesis by Temporal Object-Centric Learning
by: Akan, Adil Kaan, et al.
Published: (2025)

Organized Grouped Discrete Representation for Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2024)

DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles
by: Daniel, Tal, et al.
Published: (2023)

Simplified priors for Object-Centric Learning
by: Patil, Vihang, et al.
Published: (2024)

Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
by: Kim, Jinwoo, et al.
Published: (2023)

Vector-Quantized Vision Foundation Models for Object-Centric Learning
by: Zhao, Rongzhen, et al.
Published: (2025)

When Slots Compete: Slot Merging in Object-Centric Learning
by: Chatzisavvas, Christos, et al.
Published: (2026)

Learning Action and Reasoning-Centric Image Editing from Videos and Simulations
by: Krojer, Benno, et al.
Published: (2024)

From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial Settings
by: Zhang, Jiajie, et al.
Published: (2025)

TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action Models
by: Zhou, Jiaying, et al.
Published: (2026)

Using predefined vector systems to speed up neural network multimillion class classification
by: Gabdullin, Nikita, et al.
Published: (2026)