robotics control and mechatronics
双智能体强化学习
Dual-actor reinforcement learningA machine learning paradigm involving two distinct policy networks (actors) that interact within an environment to optimize a shared objective, often used for complex control tasks. / 一种机器学习范式，涉及两个不同的策略网络（智能体）在环境中交互以优化共同目标，常用于复杂控制任务。
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- 工艺技术
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- 农场主
- Last updated
- 2026-10-13 16:01:41
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Temporal processing: Handling time-series data or sequential decision makingTopological processing: Incorporating graph structures or spatial relationships
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Related literature
ranked by community starsDual-actor reinforcement learning for voltage control with temporal and topological processingOpen source
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1 recordsRecord title: Dual-actor reinforcement learning.
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