GOAIGOO
RL

Reinforcement Learning

Agents, planning, control and decision-making.

33,290 papers · Aggregated across sources — IEEE, arXiv, ACM, Springer, Elsevier and more.

Showing 1–24 of 33,290 papers

  1. A Collaborative Scheduling Approach for Sheet Metal Workshops in Printing Equipment Ovens Based on Graph Attention Reinforcement Learning

    Zhenjie Gao, Shanhui Liu, Gan Shi et al.

    Symmetry ·

  2. Reinforcement Learning-Based Soft–Hard Damage Cooperative Task Allocation and Optimization Method for Multi-Laser Systems Against UAV Swarms

    Jingyi Zhang, Lin Zhang, Bo Zhang et al.

    Aerospace ·

  3. AI-Driven Energy Management in Smart Microgrids with Renewable Integration Using Deep Reinforcement Learning

    Dr. Praful Nandankar, Nihar Shelke

    Zenodo (CERN European Organization for Nuclear Research) ·

  4. Robust Offline Multi-Agent Reinforcement Learning for Latency-Aware SDN Path Control in 6G-Oriented Network Softwarization

    Абзал Кызырканов, Yedil Nurakhov, Zhenis Otarbay et al.

    Technologies ·

  5. Research on Cooperative Pursuit Strategy of Multiple UUVs Based on Deep Reinforcement Learning in Complex Dynamic Environments

    Songtao Lyu, Han Zhang, Zhang De-sheng et al.

    Journal of Marine Science and Engineering ·

  6. Deep Reinforcement Learning-Based Intelligent Robot Navigation in Dynamic Environments

    Hiroshi Tanaka

    European International Journal of Multidisciplinary Research and Management Studies ·

  7. Reinforcement Learning-Tuned Nonlinear Controller Parameters for Synchronization of Chua and Duffing Chaotic Systems

    Murat Erhan Çimen

    Chaos Theory and Applications ·

  8. Large Language Model Guided Reinforcement Learning for Heat Pump Control in Smart Buildings

    Gökhan Demirel, Natascha Fernengel, Hallah Butt et al.

    KITopen ·

  9. Adaptive Obstacle‐Avoidance Path Planning for UAVs Using MobileViT‐Based Multimodal Perception and Deep Reinforcement Learning

    Xuan Hong

    Journal of Field Robotics ·

  10. Reinforcement learning-based power amplifier aware Peak-to-Average power ratio reduction in optical OTSM systems

    N. V. Uma Reddy, P. Radhakrishnan, P Piruthiviraj et al.

    Journal of Optical Communications ·

  11. APRES: Adaptive Partial Reconfiguration for Blockchain Sharding via Deep Reinforcement Learning

    Shihui Lin, Hui Huang, Yaohong Cheng et al.

    Concurrency and Computation Practice and Experience ·

  12. Deep Reinforcement Learning for Quantitative Trading: A Novel Framework Integrating Variational Mode Decomposition and Contrastive Transformer

    Yi Wensheng, Ke Gao, Jiaming Chen et al.

    WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS ·

  13. NeuRehab: a reinforcement learning and spiking neural network-based rehab automation framework

    Phani Pavan K, Chainesh Gautam, Jagan P et al.

    Neuromorphic Computing and Engineering ·

  14. A Deep Reinforcement Learning Methodology to Balance Geoprivacy and Local Search Utility in Location‐Based Services

    Omid Abbasi, Franz Welscher, Johannes Scholz et al.

    Transactions in GIS ·

  15. Intelligent university timetabling: a reinforcement learning enhanced Particle Swarm Optimization framework

    Haisheng Chen

    Scientific Reports ·

  16. Communication-Aware Decentralised Multi-Agent Reinforcement Learning Framework for UAV-Based Wildfire Suppression: Challenges Under Realistic Communication Constraints

    Samuel Cartwright, Maxime Collignon, Adolfo Perrusquía et al.

    Drones ·

  17. Reinforcement Learning-Based Traditional Sports Agents for Personalized Health Training Optimization

    Shaojuan Wang

    International Journal of Healthcare Information Systems and Informatics ·

  18. Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

    Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum et al.

    Advanced Intelligent Systems ·

  19. Expandable decision-making states for multi-agent deep reinforcement learning in soccer tactical analysis

    Kenjiro Ide, Taiga Someya, Kohei Kawaguchi et al.

    Journal Of Big Data ·

  20. Sustainable Smart Farm Networks: A Decision Theory-Guided Deep Reinforcement Learning Approach

    Dian Chen, Zelin Wan, Dong Sam Ha et al.

    ACM Transactions on Cyber-Physical Systems ·

  21. Explainability-driven multi-stage framework for river water quality assessment using reinforcement learning

    S. Ramya, S. Srinath, Pushpa Tuppad et al.

    Discover Sustainability ·

  22. Safety-Aware Residual Reinforcement Learning for Spacecraft Formation with Coupled Relative Translation and Attitude Dynamics

    Yuhan Sun, Di Huang, Zhijun Li et al.

    Guidance Navigation and Control ·

  23. Reinforcement learning based material requirement planning for customised assemble-to-order systems with incomplete bill-of-materials information and stochastic lead times

    Nanshan Qi, Zhibin Jiang, Liping Zhou et al.

    International Journal of Production Research ·

  24. Spatially valid underwater target capture by multiple AUVs with dual policy reinforcement learning framework of target allocation and pursuit control

    Shuxin Yang, Jiajia Zhou, Zheping Yan et al.

    Ocean Engineering ·

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