:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sancaktar, Cansu, Gumbsch, Christian, Zadaianchuk, Andrii, Kolev, Pavel, Martius, Georg
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2503.01584
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies
by: Chen, Jiaqi, et al.
Published: (2025)

GASP: Guided Asymmetric Self-Play For Coding LLMs
by: Jana, Swadesh, et al.
Published: (2026)

Temporally Consistent Object-Centric Learning by Contrasting Slots
by: Manasyan, Anna, et al.
Published: (2024)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
by: Zadaianchuk, Andrii, et al.
Published: (2023)

Autonomous Identification and Goal-Directed Invocation of Event-Predictive Behavioral Primitives
by: Gumbsch, Christian, et al.
Published: (2019)

Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)

Hybrid Training for Vision-Language-Action Models
by: Mazzaglia, Pietro, et al.
Published: (2025)

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
by: Gumbsch, Christian, et al.
Published: (2026)

A Deep Dive into Scaling RL for Code Generation with Synthetic Data and Curricula
by: Sancaktar, Cansu, et al.
Published: (2026)

Reconstruction by Generation: 3D Multi-Object Scene Reconstruction from Sparse Observations
by: Zadaianchuk, Andrii, et al.
Published: (2026)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
by: Didolkar, Aniket, et al.
Published: (2025)

Improving World Models using Deep Supervision with Linear Probes
by: Zahorodnii, Andrii
Published: (2025)

Zero-Shot Object-Centric Representation Learning
by: Didolkar, Aniket, et al.
Published: (2024)

Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)

Learning 3D-Gaussian Simulators from RGB Videos
by: Zhobro, Mikel, et al.
Published: (2025)

Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
by: Tytarenko, Andrii
Published: (2024)

Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons
by: Spieler, Aaron, et al.
Published: (2026)

Reinforcement Learning Fine-Tunes a Sparse Subnetwork in Large Language Models
by: Balashov, Andrii
Published: (2025)

World Models for Anomaly Detection during Model-Based Reinforcement Learning Inference
by: Domberg, Fabian, et al.
Published: (2025)

Epistemically-guided forward-backward exploration
by: Urpí, Núria Armengol, et al.
Published: (2025)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
by: Spieler, Aaron, et al.
Published: (2023)

Causal Action Influence Aware Counterfactual Data Augmentation
by: Urpí, Núria Armengol, et al.
Published: (2024)

Guided Exploration for Efficient Relational Model Learning
by: Feng, Annie, et al.
Published: (2025)

CLEF: EEG Foundation Model for Learning Clinical Semantics
by: Cao, Peng, et al.
Published: (2026)

Diversity-Incentivized Exploration for Versatile Reasoning
by: Hu, Zican, et al.
Published: (2025)

Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning
by: Bhattacharjya, Debarun, et al.
Published: (2024)

Stochastic Decision Horizons for Constrained Reinforcement Learning
by: Milosevic, Nikola, et al.
Published: (2026)

Self-adapting Robotic Agents through Online Continual Reinforcement Learning with World Model Feedback
by: Domberg, Fabian, et al.
Published: (2026)

Guiding Skill Discovery with Foundation Models
by: Yang, Zhao, et al.
Published: (2025)

Humanoid World Models: Open World Foundation Models for Humanoid Robotics
by: Ali, Muhammad Qasim, et al.
Published: (2025)

Semantic World Models
by: Berg, Jacob, et al.
Published: (2025)

Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
by: GX-Chen, Anthony, et al.
Published: (2024)

Multi-View Causal Representation Learning with Partial Observability
by: Yao, Dingling, et al.
Published: (2023)

CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models
by: Shu, Yuxuan, et al.
Published: (2025)

VFMF: World Modeling by Forecasting Vision Foundation Model Features
by: Boduljak, Gabrijel, et al.
Published: (2025)

Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
by: Mete, Akshay, et al.
Published: (2026)

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
by: Korkmaz, Cansu, et al.
Published: (2025)

THOR: A Versatile Foundation Model for Earth Observation Climate and Society Applications
by: Forgaard, Theodor, et al.
Published: (2026)

Towards Physics-Guided Foundation Models
by: Farhadloo, Majid, et al.
Published: (2025)