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    StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction

    Published in ArXiv cs.CL Recent Papers (2026)
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    QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing

    Published in PLOS ONE (2026)
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    Impact of corroded bars and spalling on the bond strength of reinforced concrete structures

    Published 2020
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    Multi-agent reinforcement learning with layered autonomy and collaboration for enhanced collaborative confrontation

    Published in Chinese Journal of Aeronautics (2025)
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    Dynamic Portfolio Optimization with Deep Reinforcement Learning: Evidence from Borsa Istanbul

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    Predicting the Plastic Rotational Capacity of Reinforced Concrete Elements Using Machine Learning

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    Short Jute Fiber Reinforced Polypropylene Composites: Effect of Nonhalogenated Fire Retardants

    Published in Advances in Chemistry (2017)
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    Nanoparticle Size Effect on Mechanical Properties of Carbon Fiber-reinforced Polymer Composites

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    Bearing Characteristics of Waste Fishing Net - Reinforced Sand With Different Embedded Depths

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    Study on Cryogenic Behavior of Reinforced Polyurethane Foam for Membrane Type LNG Carrier

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    Wire-reinforced endotracheal tube fire during tracheostomy -A case report-

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    An Optimal Nonlinear Controller Design on Multilevel Boost Converter Using Reinforcement Learning

    Published in IET Power Electronics (2026)
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    Decision‐Stability and Regret Diagnostics for Reinforcement Learning Based Handover in Vehicular Mobility

    Published in IET Communications (2026)
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    Impact of wrap quantity on strength of damaged and undamaged CFRP-reinforced structural members

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    Enhancing mechanical properties of foam concrete with sisal fiber reinforcement: An experimental investigation

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    Reinforcement of concrete beams using waste carbon-nanoclay-fiberglass laminate pieces

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    Preventing Plastic-Shrinkage Cracks in GFRP-Bar Reinforced Concrete Using Fibers

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    Flexural Behaviour of Lightly Reinforced Concrete Beams Utilizing Graphene Oxide Powder

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    Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems

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    Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning

    Published in Discover AI (2026)
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