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Sequential Problem Solving by Hierarchical Planning in Latent Spaces

Sequential problem solving is a remarkable ability demonstrated by humans and other intelligent animals. For example, a behavioral ecology study has shown how a crow can plan to retrieve a stone and drop it into the box. This is not an easy task since the stone is initially placed in a cage and the crow cannot get through the bars. But the crow intelligently makes its way to the goal by sequentially picking up a stick, using the stick to reach the stone, and taking the stone to the goal location. In each step, the crow interacts with the environment in a different way which eventually serves the goal of the task. These steps need to be carefully composed together in a specific order, such that the stick will be picked up before being used for reaching the stone.



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Sequential Problem Solving by Hierarchical Planning in Latent Spaces

https://ai.stanford.edu/blog/cavin

Sequential problem solving is a remarkable ability demonstrated by humans and other intelligent animals. For example, a behavioral ecology study has shown how a crow can plan to retrieve a stone and drop it into the box. This is not an easy task since the stone is initially placed in a cage and the crow cannot get through the bars. But the crow intelligently makes its way to the goal by sequentially picking up a stick, using the stick to reach the stone, and taking the stone to the goal location. In each step, the crow interacts with the environment in a different way which eventually serves the goal of the task. These steps need to be carefully composed together in a specific order, such that the stick will be picked up before being used for reaching the stone.



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https://ai.stanford.edu/blog/cavin

Sequential Problem Solving by Hierarchical Planning in Latent Spaces

Sequential problem solving is a remarkable ability demonstrated by humans and other intelligent animals. For example, a behavioral ecology study has shown how a crow can plan to retrieve a stone and drop it into the box. This is not an easy task since the stone is initially placed in a cage and the crow cannot get through the bars. But the crow intelligently makes its way to the goal by sequentially picking up a stick, using the stick to reach the stone, and taking the stone to the goal location. In each step, the crow interacts with the environment in a different way which eventually serves the goal of the task. These steps need to be carefully composed together in a specific order, such that the stick will be picked up before being used for reaching the stone.

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      Sequential Problem Solving by Hierarchical Planning in Latent Spaces | SAIL Blog
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      Sequential problem solving is a remarkable ability demonstrated by humans and other intelligent animals. For example, a behavioral ecology study has shown how a crow can plan to retrieve a stone and drop it into the box. This is not an easy task since the stone is initially placed in a cage and the crow cannot get through the bars. But the crow intelligently makes its way to the goal by sequentially picking up a stick, using the stick to reach the stone, and taking the stone to the goal location. In each step, the crow interacts with the environment in a different way which eventually serves the goal of the task. These steps need to be carefully composed together in a specific order, such that the stick will be picked up before being used for reaching the stone.
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      Sequential Problem Solving by Hierarchical Planning in Latent Spaces
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      We propose a hierarchical planning algorithm in learned latent spaces. Our method uses deep generative models to prioritize promising actions for sampling-based planning.
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