Special Issue: Advancements and Applications in Reinforcement Learning

Explore the practical applications and advancements of Reinforcement Learning in various sectors, including robotics, game playing, recommendation systems, healthcare, multi-agent systems, autonomous vehicles, adaptive control, user interfaces, crowd simulation, and behavior modeling.
This special issue highlights the practical applications and advancements of Reinforcement Learning (RL) across various sectors. With a focus on real-world impact, it covers a wide range of topics including RL in robotics, game playing, recommendation systems, healthcare, multi-agent systems, autonomous vehicles, adaptive control, user interfaces, crowd simulation, and behavior modeling. Submissions are invited for original research papers, case studies, experimental evaluations, and comprehensive reviews.

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Tags: Reinforcement Learning, Special Issue, Artificial Intelligence, RL in Robotics, Game Playing, Recommendation Systems, Healthcare, Multi-Agent Systems, Autonomous Vehicles, Adaptive Control, User Interfaces, Crowd Simulation, Behavior Modeling