A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
ALFRED ALFRED (Action Learning From Realistic Environments and Directives), is a new benchmark for learning a mapping from natural language instructions and egocentric vision to sequences of actions for household tasks. Long composition rollouts with non-reversible state changes are among the phenomena we include to shrink the gap between research benchmarks and real-world applications. What more? Checkout ALFWorld – interactive TextWorld environments for ALFRED scenes! Quickstart Clone repo: $ git clone https://github.com/askforalfred/alfred.git alfred $ export ALFRED_ROOT=$(pwd)/alfred Install requirements: $ virtualenv […]
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