Search Results - "Reinforcement learning"

Online Regret Bounds for Satisficing in Markov Decision Processes.

Authors: Hajiabolhassan, Hossein Ortner, Ronald

Source: Mathematics of Operations Research (INFORMS). May2026, Vol. 51 Issue 2, p1097-1119. 23p.

Reassessing Machine Learning for Decision Analysis: Reinforcement Learning vs. Least Squares Monte Carlo for Real Option Decisions in Energy Transition.

Authors: Cheraghi, Yasaman Bratvold, Reidar B.

Source: Decision Analysis (INFORMS). Jun2026, Vol. 23 Issue 2, p94-113. 20p.

Reward magnitude determines reinforcement learning efficiency.

Authors: Gong, Sheng Martell, Alyssa Dudman, Joshua T. et al.

Source: Science. 5/21/2026, Vol. 392 Issue 6800, p1-10. 10p.

Square-Root Regret Bounds for Continuous-Time Episodic Markov Decision Processes.

Authors: Gao, Xuefeng Zhou, Xunyu

Source: Mathematics of Operations Research (INFORMS). Feb2026, Vol. 51 Issue 1, p333-357. 25p.

Integrated Fleet and Demand Control for On-Demand Meal Delivery Platforms.

Authors: Hildebrandt, Florentin D. Lesjak, Žiga Strauss, Arne et al.

Source: Management Science (INFORMS). Feb2026, Vol. 72 Issue 2, p932-954. 23p.

Stochastic First-Order Methods for Average-Reward Markov Decision Processes.

Authors: Li, Tianjiao Wu, Feiyang Lan, Guanghui

Source: Mathematics of Operations Research (INFORMS). Nov2025, Vol. 50 Issue 4, p3125-3160. 36p.

Is Pessimism Provably Efficient for Offline Reinforcement Learning?

Authors: Jin, Ying Yang, Zhuoran Wang, Zhaoran

Source: Mathematics of Operations Research (INFORMS). Nov2025, Vol. 50 Issue 4, p2738-2793. 56p.

Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate.

Authors: Lin, Yifan Wang, Yuhao Zhou, Enlu

Source: Operations Research. Nov/Dec2025, Vol. 73 Issue 6, p3010-3026. 17p.

Relaxed Indexability and Index Policy for Partially Observable Restless Bandits.

Authors: Liu, Keqin¹ (AUTHOR) keqin.liu@xjtlu.edu.cn

Source: Management Science (INFORMS). Dec2025, Vol. 71 Issue 12, p10106-10121. 16p.

Learning State-Dependent Policy Parametrizations for Dynamic Technician Routing with Rework.

Authors: Stein, Jonas Hildebrandt, Florentin D. Ulmer, Marlin W. et al.

Source: Transportation Science (INFORMS). Sep/Oct2025, Vol. 59 Issue 5, p1153-1171. 19p.

Adaptive AI for QoS Management in 6G Networks: Leveraging DRL for Optimal Performance.

Authors: Alqudaihi, Ali Ahmed¹ (AUTHOR) aalqudaihi@jazanu.edu.sa

Source: EPJ Web of Conferences. 6/26/2026, Vol. 375, p1-11. 11p.

Scalable Deep Reinforcement Learning Architecture for Autonomous Threat Hunting in High-Volume Network Environments.

Authors: Bhola, Mini Rachchh, Vidhya Bhadoriya, Shivaniba et al.

Source: Advances in Consumer Research. May2026, Vol. 3 Issue 5, p18-27. 10p.

Integrated Transfer Learning and Reinforcement Learning for Reactive Current Injection During Voltage Sags.

Authors: Fathollahi, Mohana Santiago, Antonio Camacho Angulo, Cecilio

Source: Energies (19961073). Jun2026, Vol. 19 Issue 12, p2908. 16p.

Subject Terms: *Reinforcement learning, *Reactive power, *Knowledge transfer, *Electric power system stability, *Real-time control

Deep Reinforcement Learning Integrated PID for Hybrid Adaptive Control Approach in Automatic Voltage Regulation Systems.

Authors: Ali, Ahmed K. Al-Obaidi, Mudhar A. Ismail, Alhassan H. et al.

Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2693. 39p.

Subject Terms: *PID controllers, *Reinforcement learning, *Synchronous generators, *Voltage regulators, *Adaptive control systems, *Feedback control systems

Predefined-Time Performance-Guaranteed Control of Permanent Magnet Synchronous Motors (PMSMs) Based on Reinforcement Learning.

Authors: Jin, Yuliang Yin, Chunwu Li, Duanyang et al.

Source: Energies (19961073). Jun2026, Vol. 19 Issue 11, p2645. 19p.

Subject Terms: *Reinforcement learning, *Tracking control systems, *Energy consumption, *Dynamic loads, *Perturbation theory, *Permanent magnet motors

Battery-Based Dynamic Voltage Compensator for Thermoelectric Generation System with Adaptive Hierarchical Actor–Critic Algorithm: Modeling, Design and Hardware-in-the-Loop Experiment Validation.

Authors: Huang, Wenli Wang, Long Guo, Yinyuan et al.

Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2425. 45p.

Subject Terms: *Thermoelectric generators, *Reinforcement learning, *Hardware-in-the-loop simulation, *Mathematical optimization, *Thermoelectric effects, *Battery management systems

Electric Vehicle Charging and Discharging Scheduling Method Based on Clustering and Deep Reinforcement Learning.

Authors: He, Chunqi Li, Jiang

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2238. 36p.

Subject Terms: *Reinforcement learning, *Clustering algorithms, *Scheduling, *Mixed integer linear programming, *Electric power system management, *Electric vehicle charging stations, *Markov processes

Current Applications and Future Prospects of Deep Reinforcement Learning in Energy Management for Hybrid Power Systems.

Authors: Li, Zhao Long, Wuqiang Tian, Hua

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2216. 50p.

Subject Terms: *Hybrid power systems, *Reinforcement learning, *Machine learning, *Energy consumption, *Greenhouse gas mitigation

Power System Resilience to Wildfires: A Systematic Review of Modeling, Planning, and Real-Time Operational Techniques.

Authors: Navarro-Zeballos, Eugenio Musilek, Petr

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2180. 30p.

Subject Terms: *Mathematical optimization, *Reinforcement learning, *Simulation methods & models, *Machine learning, *Interdisciplinary research, *Electric power system stability, *Wildfires

Multi-Agent Reinforcement Learning for Demand Response in Grid-Responsive Buildings and Prosumer Communities: A PRISMA-Guided Systematic Review.

Authors: Sajid, Suhaib Li, Bin Qi, Bing et al.

Source: Energies (19961073). May2026, Vol. 19 Issue 9, p2170. 48p.

Subject Terms: *Reinforcement learning, *Decentralized control systems, *Energy management, *Energy demand management, *Energy conservation in buildings