:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Ruimin, Lin, Shaowei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.26672
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Black-Box Behavioral Distillation Breaks Safety Alignment in Medical LLMs
by: Jahan, Sohely, et al.
Published: (2025)

State-Action Inpainting Diffuser for Continuous Control with Delay
by: Han, Dongqi, et al.
Published: (2026)

Controllable Continual Test-Time Adaptation
by: Shi, Ziqi, et al.
Published: (2024)

Exact Inference for Continuous-Time Gaussian Process Dynamics
by: Ensinger, Katharina, et al.
Published: (2023)

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)

SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control
by: Orfanoudakis, Stavros, et al.
Published: (2026)

Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control
by: Ma, Hao, et al.
Published: (2026)

Action Dubber: Timing Audible Actions via Inflectional Flow
by: Wan, Wenlong, et al.
Published: (2025)

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
by: Peng, Ruimin, et al.
Published: (2024)

Select before Act: Spatially Decoupled Action Repetition for Continuous Control
by: Nie, Buqing, et al.
Published: (2025)

When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
by: Treven, Lenart, et al.
Published: (2024)

SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment
by: Nayan, Tushar, et al.
Published: (2025)

Predicting Covariate-Driven Spatial Deformation for Nonstationary Gaussian Processes
by: Gu, Minghao, et al.
Published: (2026)

On the Effect of Instability on Learning Continuous-Time Linear Control Systems
by: Hafshejani, Reza Sadeghi, et al.
Published: (2024)

Counterfactual Learning of Stochastic Policies with Continuous Actions
by: Zenati, Houssam, et al.
Published: (2020)

Real-time Fuel Leakage Detection via Online Change Point Detection
by: Chu, Ruimin, et al.
Published: (2024)

Approximate Control for Continuous-Time POMDPs
by: Eich, Yannick, et al.
Published: (2024)

Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
by: Zhang, Yu, et al.
Published: (2024)

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
by: Vitale, Francesco, et al.
Published: (2025)

Action Chunking and Exploratory Data Collection Yield Exponential Improvements in Behavior Cloning for Continuous Control
by: Zhang, Thomas T., et al.
Published: (2025)

QGFN: Controllable Greediness with Action Values
by: Lau, Elaine, et al.
Published: (2024)

From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems
by: He, Jianliang, et al.
Published: (2024)

Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator
by: Chen, Xuyang, et al.
Published: (2025)

Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
by: Hua, Chengxiu, et al.
Published: (2025)

Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
by: Luu, Minh Ngoc, et al.
Published: (2023)

Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
by: Yin, Mingzhou, et al.
Published: (2025)

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
by: Xu, Ruichen, et al.
Published: (2024)

Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
by: Li, Haoran, et al.
Published: (2025)

Higher-Order Action Regularization in Deep Reinforcement Learning: From Continuous Control to Building Energy Management
by: Ahmed, Faizan, et al.
Published: (2026)

Learning Passive Continuous-Time Dynamics with Multistep Port-Hamiltonian Gaussian Processes
by: Leung, Chi Ho, et al.
Published: (2025)

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
by: Cao, Wenhan, et al.
Published: (2024)

How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control
by: Yu, Hao, et al.
Published: (2025)

RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics
by: Zhang, Zhiyuan, et al.
Published: (2025)

T-TAMER: Provably Taming Trade-offs in ML Serving
by: Yang, Yuanyuan, et al.
Published: (2025)

Continuous Reasoning for Vision-Language-Action
by: Wu, Yueh-Hua, et al.
Published: (2026)

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
by: Li, Yuhan, et al.
Published: (2025)

Counterfactual Explanations for Continuous Action Reinforcement Learning
by: Dong, Shuyang, et al.
Published: (2025)

The Pitfalls of Imitation Learning when Actions are Continuous
by: Simchowitz, Max, et al.
Published: (2025)

Low-Rank MDPs with Continuous Action Spaces
by: Bennett, Andrew, et al.
Published: (2023)

AcL: Action Learner for Fault-Tolerant Quadruped Locomotion Control
by: Xu, Tianyu, et al.
Published: (2025)