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解讀continuous control with deep reinforcement learning(DDPG)
時間 2021-01-01
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版權聲明:本文爲博主原創文章,未經博主允許不得轉載。 博主:shenshikexmu 聯繫方式:[email protected] 緣起 DDPG,是Google Deepmind第一篇關於連續動作的深度加強學習論文(是否第一篇存疑)。DQN(Deep Q Network)生成的策略執行的動作是離散或者低維的,雖然在狀態輸入上可以是高維的觀察狀態。如在DQN2014中,有效的動作在4到18個之間,
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相關文章
1.
Continuous control with Deep Reinforcement Learning
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【5分鐘 Paper】Continuous Control With Deep Reinforcement Learning
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PR17.10.2:Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
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