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This article aims to survey reinforcement learning-based control mechanisms to enhance performance in autonomous systems.

May 8, 2026Open Access

Reinforcement Learning-Based Control Mechanisms For Autonomous And Intelligent Systems

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This article aims to survey reinforcement learning-based control mechanisms to enhance performance in autonomous systems.
Survey of reinforcement learning frameworks from 2000 to 2021
Focus on actor-critic architectures and deep reinforcement learning
Examination of applications in robotics and autonomous navigation
Reinforcement learning enables agents to learn control policies via interaction
Actor-critic architectures demonstrate effectiveness in high-dimensional domains
Critical issues of convergence and stability are addressed in control workflows

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Survey synthesizes reinforcement learning techniques for optimal control in autonomous systems, suggesting significant advancements.

Miller et al. (2024) studied this question.

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