:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Wu, Shuang
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2504.03328
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
by: Bai, Qinbo, et al.
Published: (2021)

Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)
by: Mostafavi, Saman, et al.
Published: (2023)

Success Conditioning as Policy Improvement: The Optimization Problem Solved by Imitating Success
by: Russo, Daniel
Published: (2026)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
by: Honari, Homayoun, et al.
Published: (2024)

Control Policy Correction Framework for Reinforcement Learning-based Energy Arbitrage Strategies
by: Madahi, Seyed Soroush Karimi, et al.
Published: (2024)

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
by: Bai, Qinbo, et al.
Published: (2022)

Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
by: Murillo-Gonzalez, Alejandro, et al.
Published: (2026)

Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration
by: Mohammadi, Esmaeel, et al.
Published: (2024)

Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
by: Pipattaratonchai, Teetat, et al.
Published: (2026)

Efficient Policy Optimization in Robust Constrained MDPs with Iteration Complexity Guarantees
by: Ganguly, Sourav, et al.
Published: (2025)

Scaling Learning based Policy Optimization for Temporal Logic Tasks by Controller Network Dropout
by: Hashemi, Navid, et al.
Published: (2024)

Latent World Models for Automated Driving: A Unified Taxonomy, Evaluation Framework, and Open Challenges
by: Zeng, Rongxiang, et al.
Published: (2026)

PID Accelerated Temporal Difference Algorithms
by: Bedaywi, Mark, et al.
Published: (2024)

An Optimal Policy for Learning Controllable Dynamics by Exploration
by: Loxley, Peter N.
Published: (2025)

From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
by: Asru, Avijit Saha, et al.
Published: (2025)

Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)

Stabilizing Policy Gradient Methods via Reward Profiling
by: Ahmed, Shihab, et al.
Published: (2025)

Conformal Off-Policy Evaluation in Markov Decision Processes
by: Foffano, Daniele, et al.
Published: (2023)

One Filter to Deploy Them All: Robust Safety for Quadrupedal Navigation in Unknown Environments
by: Lin, Albert, et al.
Published: (2024)

Unifying Goal-Conditioned RL and Unsupervised Skill Learning via Control-Maximization
by: Modirshanechi, Alireza, et al.
Published: (2026)

CORL: Reinforcement Learning of MILP Policies Solved via Branch and Bound
by: Anand, Akhil S, et al.
Published: (2025)

Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
by: Zhang, Xiangyuan, et al.
Published: (2023)

Epidemic Control on a Large-Scale-Agent-Based Epidemiology Model using Deep Deterministic Policy Gradient
by: Deshkar, Gaurav, et al.
Published: (2023)

Large Language Model Powered Automated Modeling and Optimization of Active Distribution Network Dispatch Problems
by: Yang, Xu, et al.
Published: (2025)

From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
by: Li, Peilang, et al.
Published: (2025)

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
by: Zhang, Ruining, et al.
Published: (2023)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024)

An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes
by: Angelotti, Giorgio, et al.
Published: (2021)

A Review on AI Algorithms for Energy Management in E-Mobility Services
by: Yan, Sen, et al.
Published: (2023)

Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
by: Ibrahim, Sinan, et al.
Published: (2026)

DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations
by: Li, Minghao, et al.
Published: (2026)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States
by: Razin, Noam, et al.
Published: (2024)

On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
by: Murthy, Yashaswini, et al.
Published: (2023)

Mixture-of-Models: Unifying Heterogeneous Agents via N-Way Self-Evaluating Deliberation
by: Pecerskis, Tims, et al.
Published: (2026)

HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
by: Zhang, Ziyan, et al.
Published: (2026)

Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks
by: Vassallo, Maurizio, et al.
Published: (2024)

Primitive Agentic First-Order Optimization
by: Sala, R.
Published: (2024)

Differentiable Distributionally Robust Optimization Layers
by: Ma, Xutao, et al.
Published: (2024)

Go Beyond Black-box Policies: Rethinking the Design of Learning Agent for Interpretable and Verifiable HVAC Control
by: An, Zhiyu, et al.
Published: (2024)

Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout
by: Fiscko, Carmel, et al.
Published: (2023)