:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yan, Shuchang, Sun, Haoran
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2410.20913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach
by: Yan, Shuchang
Published: (2024)

Sequence Aware SAC Control for Engine Fuel Consumption Optimization in Electrified Powertrain
by: Jaleel, Wafeeq, et al.
Published: (2025)

Online Control of Linear Systems under Unbounded Noise
by: Ito, Kaito, et al.
Published: (2024)

OCMDP: Observation-Constrained Markov Decision Process
by: Wang, Taiyi, et al.
Published: (2024)

High-Probability Bounds for SGD under the Polyak-Lojasiewicz Condition with Markovian Noise
by: Kar, Avik, et al.
Published: (2026)

Adaptive Decentralized Federated Learning in Energy and Latency Constrained Wireless Networks
by: Yan, Zhigang, et al.
Published: (2024)

Traffic-aware Hierarchical Integrated Thermal and Energy Management for Connected HEVs
by: Han, Jie, et al.
Published: (2026)

Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
by: Zhang, Ziyi, et al.
Published: (2024)

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
by: Kato, Teruki, et al.
Published: (2026)

HUANet: Hard-Constrained Unrolled ADMM for Constrained Convex Optimization
by: Tran, Trinh, et al.
Published: (2026)

Achieving $\widetilde{O}(1/ε)$ Sample Complexity for Bilinear Systems Identification under Bounded Noises
by: Yi, Hongyu, et al.
Published: (2026)

Combined Peak Reduction and Self-Consumption Using Proximal Policy Optimization
by: Peirelinck, Thijs, et al.
Published: (2022)

Provably Optimal Reinforcement Learning under Safety Filtering
by: Oh, Donggeon David, et al.
Published: (2025)

Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)

Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
by: Shi, Yuchen, et al.
Published: (2025)

NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
by: Rajagede, Rian Adam, et al.
Published: (2025)

A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction
by: Xia, Weijie, et al.
Published: (2024)

Spatiotemporal Decision Transformer for Traffic Coordination
by: Su, Haoran, et al.
Published: (2026)

Advancing Gasoline Consumption Forecasting: A Novel Hybrid Model Integrating Transformers, LSTM, and CNN
by: Ranjbar, Mahmoud, et al.
Published: (2024)

Conformal Predictive Programming for Chance Constrained Optimization
by: Zhao, Yiqi, et al.
Published: (2024)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)

Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)

Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains
by: Xia, Weijie, et al.
Published: (2024)

Learning Linear Dynamics from Bilinear Observations
by: Sattar, Yahya, et al.
Published: (2024)

Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
by: Haque, Shaan Ul, et al.
Published: (2024)

Outlier-Robust Linear System Identification Under Heavy-tailed Noise
by: Kanakeri, Vinay, et al.
Published: (2024)

Physics-Constrained Machine Learning for Chemical Engineering
by: Mukherjee, Angan, et al.
Published: (2025)

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
by: Zhang, Tianqi, et al.
Published: (2025)

Adaptive Learning Guided by Bias-Noise-Alignment Diagnostics
by: Samanta, Akash, et al.
Published: (2025)

Formal Safety Verification and Refinement for Generative Motion Planners via Certified Local Stabilization
by: Nath, Devesh, et al.
Published: (2025)

Response-Aware Risk-Constrained Control Barrier Function With Application to Vehicles
by: Liao, Qijun, et al.
Published: (2026)

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
by: Dai, Yan, et al.
Published: (2024)

Hierarchical Upper Confidence Bounds for Constrained Online Learning
by: Baheri, Ali
Published: (2024)

Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
by: Chang, Ting-Jui, et al.
Published: (2024)

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
by: Ding, Dongsheng, et al.
Published: (2023)

Symmetric Linear Dynamical Systems are Learnable from Few Observations
by: Vu, Minh, et al.
Published: (2025)

PolyFormer: learning efficient reformulations for scalable optimization under complex physical constraints
by: Wen, Yilin, et al.
Published: (2026)

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
by: Zheng, Xue Xian, et al.
Published: (2025)

Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
by: Haque, Shaan Ul, et al.
Published: (2023)