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Reinforcement Learning in Robotics

25 та иш

  1. The importance of loss function in artificial intelligence

    Nodir Raximov, Jura Kuvandikov, Khasanov Dilmurod

    МақолаExplainable Artificial Intelligence (XAI)20222 иқтибос
    ABI

  2. Controllability problems for the string equation

    L. V. Fardigola, Kateryna Khalina

    МақолаAlgorithms and Data CompressionUkrainian Mathematical Journal20070 иқтибос
    ABI

  3. Understanding Reinforcement Learning Control in Cyber-Physical Energy Systems

    Maurizio Repetto, Francesco Moraglio, Lorenti, Gianmarco

    МақолаReinforcement Learning in Robotics20220 иқтибос
    ABI

  4. Automatic Tuning of the Motion Control System of a Mobile Robot Along a Trajectory Based on the Reinforcement Learning Method

    T. Yu. Kim, Ryhor Prakapovich

    БобAdaptive Dynamic Programming ControlCommunications in computer and information science20220 иқтибос
    ABI

  5. Prioritized experience replay in path planning via multi-dimensional transition priority fusion

    Nuo Cheng, Peng Wang, Guangyuan Zhang +2

    МақолаRobotic Path Planning AlgorithmsFrontiers in Neurorobotics20230 иқтибос
    ABI

  6. Drones: Categories, Programs, and Technological Challenges

    Pramod Kumar Patel, P. K. Miniappan, S. Sadullaev +3

    МақолаRobotic Path Planning Algorithms20240 иқтибос
    ABI

  7. THE IMPACT OF NEURAL NETWORKS ON GLOBAL INDUSTRIES

    Qonarbaev David Xalbaevich, Allamuratov Timur Koshmurat Ogli, Saypnazarov Ramazan Farxat Oglı

    МақолаEvolutionary Algorithms and ApplicationsAmerican Journal Of Applied Science And Technology20240 иқтибос
    ABI

  8. Exploring the Potential of the Bicameral Mind Theory in Reinforcement Learning Algorithms

    Munavvarkhon Mukhitdinova, Mariana Petrova

    МақолаReinforcement Learning in RoboticsComputers20250 иқтибос
    ABI

  9. AI-Assisted Motion Planning for Autonomous Robots Using Reinforcement Learning

    Vamsi R. Narra, Gulora Yuldasheva, Gulirano Matkarimova Abdullaevna +1

    МақолаGuidance and Control Systems20250 иқтибос
    ABI

  10. Deep Reinforcement Learning-Based Calibration Optimization for Robotic Manipulators Under Dynamic Uncertainties

    Rakhimov Abdugofur, Khaytbaev Aybek, Madaminov Khaydar +1

    МақолаRobotic Mechanisms and Dynamics20250 иқтибос
    ABI

  11. Dall'Ottimizzazione alla Scoperta Autonoma: Il Paradigma della Ricompensa per la Novità nel Reinforcement Learning e le sue Implicazioni nella Scienza di Frontiera

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаReinforcement Learning in RoboticsZenodo (CERN European Organization for Nuclear Research)20250 иқтибос
    ABI

  12. Dall'Ottimizzazione alla Scoperta Autonoma: Il Paradigma della Ricompensa per la Novità nel Reinforcement Learning e le sue Implicazioni nella Scienza di Frontiera

    Amelia Carolina Sparavigna, Gemini (Modello Linguistico di Google)

    МақолаReinforcement Learning in RoboticsZenodo (CERN European Organization for Nuclear Research)20250 иқтибос
    ABI

  13. Q-Learning-Based Feedback Optimization for Operator Training in Industrial Robotics

    Otabek Bobojonov, Kumaran Thayumanavan, Subha D +2

    МақолаRobot Manipulation and Learning20250 иқтибос
    ABI

  14. AI-Powered Applications in Precision Healthcare and Security Surveillance Systems

    Kapil Shrivastava, Mandeep Narang, Vedamurthy Gejjegondanahalli Yogeshappa +3

    МақолаReinforcement Learning in Robotics20250 иқтибос
    ABI

  15. Reinforcement Learning-Driven Adaptive Traffic Signal Control in Metropolitan Areas

    A. Nidal Al-Dmour, O. Nowf, L. N. Tuychiev +2

    МақолаTraffic control and management20250 иқтибос
    ABI

  16. Multi-Agent Reinforcement Learning for Collaborative Autonomous Vehicle Fleets

    Pallavi Semwal, Mirzohid Ernazarov, Mehmet Ali Yüzbaşıoğlu +3

    МақолаReinforcement Learning in Robotics20250 иқтибос
    ABI

  17. Self-Supervised Learning for Robotic Manipulation in Unstructured Environments

    Preeti Badhani, Sadridin Eshkaraev, Umrbek Karimov +3

    МақолаRobot Manipulation and Learning20250 иқтибос
    ABI

  18. Meta-Learning for Few-Shot Adaptation in Robotic Control Tasks

    Saksham Mittal, Samariddin Makhmudov, Sarvarbek Matniyozov +3

    МақолаDomain Adaptation and Few-Shot Learning20250 иқтибос
    ABI

  19. Uncertainty-Based Dynamic Weighted Experience Replay for Human-in-the-Loop Deep Reinforcement Learning

    Роман Пантин, Shavkat Mamarajabov

    БобReinforcement Learning in RoboticsLecture notes in computer science20250 иқтибос
    ABI

  20. Formula of Fate: Behavioral Vector Modeling for Adaptive AI Systems

    Edward Meyman

    ПрепринтReinforcement Learning in RoboticsSSRN Electronic Journal20250 иқтибос
    ABI

  21. A Simple and Reproducible Hybrid Solver for a Truck-Drone VRP with Recharge

    Meraryslan Meraliyev, Cemil Turan, Shirali Kadyrov

    ПрепринтUAV Applications and OptimizationArXiv.org20250 иқтибос
    ABI

  22. Self-Learning Evolutionary Control Networks for Adaptive Energy Optimization in Smart IoT Cyber-Physical Systems

    Asfar H Siddiqui, P. Kavitha, B. Swathi +3

    МақолаMetaheuristic Optimization Algorithms Research20260 иқтибос
    ABI

  23. Deep Reinforcement Learning for High-Frequency Trading

    RPS Chauhan, Kalpana Rawat, Ambuj Kumar Agarwal +3

    МақолаStock Market Forecasting Methods20260 иқтибос
    ABI

  24. Emergent Behaviour Recognition using Reinforcement Learning-Driven Control in Complex Cybernetic IoT Architectures

    S. Swapna, Kathari Santosh, Yentrapati Sabitha Yali +3

    МақолаReinforcement Learning in Robotics20260 иқтибос
    ABI

  25. GAP: Geometric Anchor Pre-training for Data-Efficient Visuomotor Learning of Manipulation Tasks

    Davide Buoso, Andrea Protopapa, Stefano Di Carlo +2

    МақолаRobot Manipulation and LearningArXiv.org20260 иқтибос
    ABI