:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Xinwei, Ulmer, Marlin W., Thomas, Barrett W.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2504.05633
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
by: Bayati, Mohsen, et al.
Published: (2022)

HOFLON: Hybrid Offline Learning and Online Optimization for Process Start-Up and Grade-Transition Control
by: Durkin, Alex, et al.
Published: (2025)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start
by: Wei, Lai, et al.
Published: (2025)

Finite-Sample Analysis of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
by: Chen, Suei-Wen, et al.
Published: (2024)

Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)

Start-Up Success: Collection Development
by: Awe, Susan C.
Published: (2010)

Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
by: Jiang, Yuxuan, et al.
Published: (2024)

Information Theoretic Learning for Diffusion Models with Warm Start
by: Shen, Yirong, et al.
Published: (2025)

Evolutionary Warm-Starts for Reinforcement Learning in Industrial Continuous Control
by: Maus, Tom, et al.
Published: (2026)

Jump-Start Reinforcement Learning with Vision-Language-Action Regularization
by: Moroncelli, Angelo, et al.
Published: (2026)

NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
by: Eshaghi, Mohammad Sadegh, et al.
Published: (2025)

Shaping Decision Models for Stochastic Dynamic Optimization Problems via Reinforcement Learning
by: Florentin D. Hildebrandt, et al.
Published: (2026)

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion
by: Zheng, Ziang, et al.
Published: (2025)

Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions
by: Mehra, Aman, et al.
Published: (2025)

Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
by: Zhao, Yushang, et al.
Published: (2025)

On-Demand Model and Client Deployment in Federated Learning with Deep Reinforcement Learning
by: Chahoud, Mario, et al.
Published: (2024)

Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework
by: Stein, Jonas, et al.
Published: (2024)

Shape it Up! Restoring LLM Safety during Finetuning
by: Peng, ShengYun, et al.
Published: (2025)

Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
by: Chen, Shuang, et al.
Published: (2025)

Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
by: Bayley, Adam, et al.
Published: (2026)

Waking Up Blind: Cold-Start Optimization of Supervision-Free Agentic Trajectories for Grounded Visual Perception
by: Bajpai, Ashutosh, et al.
Published: (2026)

Short-Form Video Recommendations with Multimodal Embeddings: Addressing Cold-Start and Bias Challenges
by: Dzhoha, Andrii, et al.
Published: (2025)

An Explainable Deep Reinforcement Learning Model for Warfarin Maintenance Dosing Using Policy Distillation and Action Forging
by: Zadeh, Sadjad Anzabi, et al.
Published: (2024)

Stress-Testing Alignment Audits With Prompt-Level Strategic Deception
by: Daniels, Oliver, et al.
Published: (2026)

Cold-Start Active Preference Learning in Socio-Economic Domains
by: Fayaz-Bakhsh, Mojtaba, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Large-Scale Tote Allocation in Human-Robot Collaborative Fulfillment Centers
by: Sengupta, Sikata, et al.
Published: (2026)

Improving Iterative Gaussian Processes via Warm Starting Sequential Posteriors
by: Dong, Alan Yufei, et al.
Published: (2025)

STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
by: Beck, Nathan, et al.
Published: (2024)

Causal Multi-Task Demand Learning
by: Gupta, Varun, et al.
Published: (2026)

SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
by: Jacobs, Yahel, et al.
Published: (2024)

Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning
by: Singhal, Aaryan, et al.
Published: (2023)

Integrable Elasticity via Neural Demand Potentials
by: Heredia, Carlos, et al.
Published: (2026)

Managing Correlations in Data and Privacy Demand
by: Chaudhuri, Syomantak, et al.
Published: (2025)

Warm Starting State-Space Models with Automata Learning
by: Fishell, William, et al.
Published: (2026)

Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
by: Hu, Jiacheng, et al.
Published: (2025)

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs
by: Zhao, Yushang, et al.
Published: (2025)

Position: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI
by: Wilson, Sophia N., et al.
Published: (2026)

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
by: Ramesh, Aditya A., et al.
Published: (2024)

LLMs for Cold-Start Cutting Plane Separator Configuration
by: Lawless, Connor, et al.
Published: (2024)

Warm Starts Accelerate Conditional Diffusion
by: Scholz, Jonas, et al.
Published: (2025)