| 2026-10-21 | Decision intelligence for electric bus charging scheduling through LLM-driven reward shaping and reinforcement learning | Transportation Research Part C Emerging Technologies | Jiahao Zhan, Ying Yang, Zhe Zhang et al. | Shanghai University; Tsinghua University; Jilin University; … |
| 2026-10-17 | Enhancing heterogeneous multi-agent autonomous exploration in unstructured terrains via dual-layer collaborative control | Neural Networks | Kexiang Zhao, Bingyu Hu, Yingying Pan et al. | Hangzhou Dianzi University; Wuhan University |
| 2026-10-13 | Adaptive actor-critic framework for efficient and reliability-aware SFC deployment in mobile edge computing | Journal Of Big Data | Yijiang Zhang, Yanfeng Fang, Wei Wang | Shaoxing Institute of Technology |
| 2026-10-09 | R3-Gen: Enhancing medical report generation with reasoning-reinforced fine-tuning | Pattern Recognition | Ting Xiao, Yixing Qiu, Haofeng Yang et al. | East China University of Science and Technology; Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education |
| 2026-10-09 | A reinforcement learning-based EWMA control chart with an application to urban mobility monitoring | Computers & Industrial Engineering | Usman Ibrahim, Mohammad M. AlDurgam, Nasir Abbas et al. | King Fahd University of Petroleum and Minerals |
| 2026-10-08 | A structure-guided reinforcement learning framework for joint scheduling and acceptance in R&D projects under technical risk | Computers & Operations Research | Xinyue Wang, Chaoming Hu, Haojun Fang et al. | Hefei University of Technology |
| 2026-10-07 | RLDAL: A reinforcement learning-driven active learning framework for region-level sampling in medical image segmentation | Expert Systems with Applications | Yujie Diao, Ruiguo Yu, Xuewei Li et al. | Tianjin University; Tianjin Medical University Cancer Institute and Hospital; Tianjin Medical University |
| 2026-10-07 | SGRLCF: Supervision-guided reinforcement learning for rating prediction in collaborative filtering | Expert Systems with Applications | Tong Wu, Can Liu, Dongjing Wang et al. | Zhejiang Gongshang University |
| 2026-10-07 | Bayesian Black-Litterman under Nonlinear Dependence: A Hybrid Framework with GARCH-EVT Marginals, R-Vine Copulas, and Reinforcement Learning for Tactical Portfolio Allocation | Computational Economics | Felipe Mora, Werner Kristjanpoller | Universidad Técnica Federico Santa María |
| 2026-10-07 | Discovering session-level demand patterns for reinforcement learning-based dynamic inventory allocation in live-streaming e-commerce | Knowledge and Information Systems | Thi-Linh Ho, Hiep Pham, Hoang Quan Dinh et al. | Ton Duc Thang University; RMIT Vietnam; HUTECH University; … |
| 2026-10-06 | Guided strategic oscillation with reinforcement learning for the shared customer collaboration vehicle routing problem | Expert Systems with Applications | Juan Aday Siverio-González, Belén Melián-Batista, José Marcos Moreno-Vega | Universidad de La Laguna |
| 2026-10-01 | Reinforcement learning-based evolutionary algorithm for home healthcare routing and scheduling problem considering caregiver routing time limitations | Computers & Industrial Engineering | Jie Dong, Yaping Fu, Amir M. Fathollahi‐Fard et al. | Qingdao University; Laurentian University; Jiangnan University; … |
| 2026-10-01 | FBiT: A Bidirectional Topology-Factored Reinforcement Learning Framework with Coordination Demand Forecasting for Supply Chain Control | Expert Systems with Applications | Huahong Deng, Baoyao Yang, Xiaojie Chen et al. | Guangdong University of Technology; HSBC Holdings; Tencent (China) |
| 2026-10-01 | A dual-encoder cross-attention reinforcement learning method for real-time multi-AGV scheduling in complex solar cell production workshops | Expert Systems with Applications | Tingyang Xue, Liyun Xu, Zhuo Zhou et al. | |
| 2026-10-01 | Long-Horizon Decision Making via Latent Planning in Decision Transformers | Neural Networks | Zengyang Wang, Qirui Gan, Yiran Zeng et al. | South China University of Technology; Nanjing University of Finance and Economics |
| 2026-10-01 | Reinforcement learning-assisted quantum-inspired optimization of autonomous ambulance routing under cyber risk: Los Angeles wildfire case study | Computers & Industrial Engineering | Hooman Razavi, Mostafa Hajiaghaei–Keshteli, Hossein Bonakdari et al. | |
| 2026-10-01 | RLAX: A Reinforcement Learning-Based Framework for Explaining Anomalous Data | Machine Learning | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti | University of Calabria |
| 2026-10-01 | Spawning tasks from chitchatting - reinforcement learning-based policy | Neural Computing and Applications | Atheer S. Algherairy, Moataz Ahmed | King Fahd University of Petroleum and Minerals; Imam Abdulrahman Bin Faisal University |
| 2026-10-01 | Bio-inspired reinforcement federated optimization for energy-aware and privacy-preserving healthcare systems | Neural Computing and Applications | Geetha G, N. Ramshankar | Saveetha University |
| 2026-09-30 | Solution methods for the dynamic and probabilistic profitable tour problem | OR Spectrum | Marvin Caspar, Daniel Schermer, Oliver Wendt | University of Kaiserslautern; Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau |
| 2026-09-29 | Reinforcement learning-based predefined-time secure control for fractional-order nonlinear systems with sensor and actuator attacks | Neural Networks | Chunyu Liang, Fang Wang, Zhen Wang et al. | Shandong University of Science and Technology; Guangdong University of Technology |
| 2026-09-29 | KG-NAV: Knowledge-guided mixture-of-experts for local UAV navigation | Knowledge-Based Systems | Yaoxin Shen, Yongming Liu | Arizona State University |