AI RESEARCH
Taxonomy and Trends in Reinforcement Learning for Robotics and Control Systems: A Structured Review
arXiv CS.LG
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ArXi:2510.21758v4 Announce Type: replace-cross Reinforcement learning (RL) has become a foundational approach for enabling intelligent robotic behavior in dynamic and uncertain environments. This work presents an in-depth review of RL principles, advanced deep reinforcement learning (DRL) algorithms, and their integration into robotic and control systems.