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๐Ÿ‘ฉ๐Ÿพโ€๐Ÿซ and Actor-Critic

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The Actor-Critic Method, a reinforcement learning technique, uses two models: the actor, which makes decisions based on a policy, and the critic, which evaluates these decisions. This method has been influential in fields such as autonomous vehicles, robotics, game AI, finance, healthcare, energy management, natural language processing, and supply chain optimization. Despite its complexity and potential for instability, the Actor-Critic Method is a powerful tool in AI learning, combining the strengths of policy-based and value-based approaches.

Website: synapticlabs.ai
Youtube: https://www.youtube.com/@synapticlabs
Substack: https://professorsynapse.substack.com/

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116 episode

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Manage episode 409945774 series 3454537
Konten disediakan oleh J.S. Rose. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh J.S. Rose atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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The Actor-Critic Method, a reinforcement learning technique, uses two models: the actor, which makes decisions based on a policy, and the critic, which evaluates these decisions. This method has been influential in fields such as autonomous vehicles, robotics, game AI, finance, healthcare, energy management, natural language processing, and supply chain optimization. Despite its complexity and potential for instability, the Actor-Critic Method is a powerful tool in AI learning, combining the strengths of policy-based and value-based approaches.

Website: synapticlabs.ai
Youtube: https://www.youtube.com/@synapticlabs
Substack: https://professorsynapse.substack.com/

  continue reading

116 episode

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