
ai.stanford.edu/blog/cavin
Preview meta tags from the ai.stanford.edu website.
Linked Hostnames
11- 17 links toai.stanford.edu
- 2 links toarxiv.org
- 2 links togithub.com
- 2 links totwitter.com
- 1 link todeepgenerativemodels.github.io
- 1 link togetpocket.com
- 1 link tojunyanz.github.io
- 1 link topair.stanford.edu
Thumbnail

Search Engine Appearance
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.
Bing
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.
DuckDuckGo

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.
General Meta Tags
11- titleSequential Problem Solving by Hierarchical Planning in Latent Spaces | SAIL Blog
- titleSequential Problem Solving by Hierarchical Planning in Latent Spaces | The Stanford AI Lab Blog
- charsetutf-8
- viewportwidth=device-width, initial-scale=1, maximum-scale=1
- generatorJekyll v3.9.0
Open Graph Meta Tags
6- og:titleSequential Problem Solving by Hierarchical Planning in Latent Spaces
og:locale
en_US- og:descriptionSequential 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.
- og:urlhttp://ai.stanford.edu/blog/cavin/
- og:site_nameSAIL Blog
Twitter Meta Tags
6- twitter:cardsummary
- twitter:titleSequential Problem Solving by Hierarchical Planning in Latent Spaces
- twitter:descriptionWe propose a hierarchical planning algorithm in learned latent spaces. Our method uses deep generative models to prioritize promising actions for sampling-based planning.
- twitter:creator@StanfordAILab
- twitter:cardsummary_large_image
Link Tags
12- alternatehttp://ai.stanford.edu/blog/feed.xml
- canonicalhttp://ai.stanford.edu/blog/cavin/
- canonicalhttp://ai.stanford.edu/blog/cavin/
- icon/blog/assets/img/favicon-32x32.png
- icon/blog/assets/img/favicon-16x16.png
Emails
1- ?subject=Sequential+Problem+Solving+by+Hierarchical+Planning+in+Latent+Spaces%20%7C%20SAIL+Blog&body=:%20http://ai.stanford.edu/blog/cavin/
Links
30- http://ai.stanford.edu
- http://ai.stanford.edu/blog/feed.xml
- http://ai.stanford.edu/~kuanfang
- http://pair.stanford.edu/cavin
- http://www.reddit.com/submit?url=http://ai.stanford.edu/blog/cavin/&title=Sequential+Problem+Solving+by+Hierarchical+Planning+in+Latent+Spaces%20%7C%20SAIL+Blog