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Reinforcement learning (RL) has become a central post-training approach for reasoning and agentic large language models (LLMs), particularly when task outcomes can be verified automatically. Comparisons across this literature remain difficult because a reported gain may combine changes to the learning signal, policy co...
A robotics-oriented review of ADP for two representative platforms, namely robotic manipulators and Mobile Wheeled Robots, and compares studies employing typical ADP structures, approaches to robustness guarantees, hardware validation, and practical deployment limitations.
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