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Optimistic Online LQR via Intrinsic Rewards

DGX agent

arXiv:2603.28938v2 Announce Type: replace-cross Abstract: Optimism in the face of uncertainty is a popular approach to balance exploration and exploitation in reinforcement learning. Here, we consider

safetyarxiv-cs-lg

24 Aug 2026

Model Releases

Search: “concepts”

Optimistic Online LQR via Intrinsic Rewards

Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification

When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented Generation

AsymFeX: A Symmetry-Driven Framework for Ischemic Stroke Segmentation Across Imaging Modalities and Stroke Stages

Auditing Recorded Predictive Lead Service-Line Classifications Against Physical Verification: A Statewide Study of New York

Automatic bioinformatic software named entity recognition from literature

Bounded Sovereignty and the Control Tax: Pricing AI Oversight When the Deployer Does Not Own the Model

In Two Minds about Lifelong Learning: Exploring Hemispheric Redundancy and Specialisation in Neural Models

Measuring What a Specification Determines: A Formal Semantic-Block Model and an Execution-Judged Benchmark

SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth Events

Specification-delta-driven data governance: an empirical study of the {guillemotleft}spec-delta{guillemotright} as the unit of change in lakehouse data platforms

Towards On-Board Implementation of ML-Based Helicopter Weight Estimator

DynCur-Geo: Dynamic Curiosity Reward Shaping for Multimodal Active Geo-Localization

Graphical Design of Interpretable Architectures

GreekBarRetrieval: A Benchmark for Greek Statutory Retrieval

Mechanistic Interpretability of Structure-Aware Numerical Reasoning in LLaMA 3.1 8B

Nine Emotion Centroids: A Label-Free Valence Axis That Transfers Across Four Modalities

On the Triangle Inequality for the Jaccard Distance in Arbitrary Lattices

Preference Reasoning under Indeterminacy in Large Language Models

Progressive Experience Fusion for Multi-Task World Model Control in Endovascular Navigation

SCORE: Subject Coordinate Recovery for Label-Free Cross-Subject EEG-to-Image Retrieval

SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection

Teach a Molmo2Fish: Towards interactive fish tracking with natural language guidance

Trust as a Field: A Macroscopic Representation for Vehicular Networks

Collective Counterfactual Planning: Coordination, Consent, and Verification under Representational Constraints

Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions

Dynamic Regime-Aware Conformal Calibration for Reliable Economic Forecast Intervals under Multiple Distribution Shifts

From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation

Measuring Narrative Polarization in Online Discourse

Neuro-symbolic learning over OWL 2 DL via consequence-based compilation to differentiable circuits

Primitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing

TabularQGAN: A quantum generative model for tabular data synthesis

The politics of postmortem privacy

A Bi-directional Multi-solution Scalable Grover Search Algorithm

A Comprehensive Survey of Wireless Foundation Models for AI-Native 6G Networks

A Highly Efficient Diversity-based Input Selection for DNN Improvement Using VLMs

A Survey of Body and Face Motion: Datasets, Performance Evaluation Metrics and Generative Techniques

Computational KJ-Ho: An Analyst-Bias-Free Insight Extraction Framework from Large-Scale Qualitative Data Using Domain-Specialized LLMs

DepthArb: Training-Free Depth-Arbitrated Generation for Occlusion-Robust Image Synthesis

Design Optimization for Large High-Force Soft Robot Manipulators Under Gravitational Loads

Encoding of musical structures in hidden units of restricted Boltzmann machines

Evidence of conceptual mastery in the application of rules by Large Language Models

Foresight-England: Development of a National-Scale Generative AI Model of Electronic Health Records for Medical Event Prediction across the COVID-19 Pandemic

Formalisms for Robotic Mission Specification and Execution: A Comparative Analysis

Gathered, Not Admitted: How Attention Brings a Latent Variable into Verbalizable Form

Implementation of a Metacognition Framework for Self-Awareness and Self-Regulation in Ensembles of LLMs

Joint Flow Matching Enables Continuous Dose-Conditioned Cell Morphing