Difference between revisions of "ALFRED"
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[https://www.bing.com/news/search?q=ai+ALFRED+Action+Learning+From+Realistic+Environments+Directives&qft=interval%3d%228%22 ...Bing News] | [https://www.bing.com/news/search?q=ai+ALFRED+Action+Learning+From+Realistic+Environments+Directives&qft=interval%3d%228%22 ...Bing News] | ||
| + | * [[Data Science]] ... [[Data Governance|Governance]] ... [[Data Preprocessing|Preprocessing]] ... [[Feature Exploration/Learning|Exploration]] ... [[Data Interoperability|Interoperability]] ... [[Algorithm Administration#Master Data Management (MDM)|Master Data Management (MDM)]] ... [[Bias and Variances]] ... [[Benchmarks]] ... [[Datasets]] | ||
* [[Embodied AI]] | * [[Embodied AI]] | ||
* [[AlfWorld]] | * [[AlfWorld]] | ||
Revision as of 09:14, 20 May 2023
Youtube ... Quora ...Google search ...Google News ...Bing News
- Data Science ... Governance ... Preprocessing ... Exploration ... Interoperability ... Master Data Management (MDM) ... Bias and Variances ... Benchmarks ... Datasets
- Embodied AI
- AlfWorld
ALFRED; Action Learning From Realistic Environments and Directives is a benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks. It includes long, compositional tasks with non-reversible state changes to shrink the gap between research benchmarks and real-world applications. a benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks. It includes long, compositional tasks with non-reversible state changes to shrink the gap between research benchmarks and real-world applications. ALFRED consists of expert demonstrations in interactive visual environments for 25k natural language directives. These directives contain both high-level goals like “Rinse off a mug and place it in the coffee maker” and low-level language instructions like "Walk to the coffee maker on the right."
