excursion 发表于 2025-3-27 00:55:27

Learning to Runoth continuous, which is a moderately large-scale environment for novices to gain some experiences. We provide a soft actor-critic solution for the task, as well as some tricks applied for boosting performances. The environment and code are available at ..

有毛就脱毛 发表于 2025-3-27 02:25:36

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Nomadic 发表于 2025-3-27 06:32:28

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Nausea 发表于 2025-3-27 12:24:16

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紧张过度 发表于 2025-3-27 16:41:43

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发怨言 发表于 2025-3-27 21:19:29

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珊瑚 发表于 2025-3-27 22:54:54

Hierarchical Reinforcement Learning algorithms in these categories, including strategic attentive writer, option-critic, and feudal networks, etc. Finally, we provide a summary of recent works on hierarchical reinforcement learning at the end of this chapter.

overwrought 发表于 2025-3-28 04:26:40

Preußen im deutschen Föderalismustion learning can either be regarded as an initialization or a guidance for training the agent in the scope of reinforcement learning. Combination of imitation learning and reinforcement learning is a promising direction for efficient learning and faster policy optimization in practice.

plasma 发表于 2025-3-28 08:59:35

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Fsh238 发表于 2025-3-28 11:04:39

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查看完整版本: Titlebook: Deep Reinforcement Learning; Fundamentals, Resear Hao Dong,Zihan Ding,Shanghang Zhang Book 2020 Springer Nature Singapore Pte Ltd. 2020 Dee