Report
ReHarness preprint proposes backward revision for AI agents
The announcement describes joint Meta, MIT and Yale work, asking what happens when agents learn from wrong experience.
TLDR
A researcher introducing the ReHarness preprint says the recurrent agent harness enables online continual learning through backward revision. The researcher describes it as joint work by Meta, MIT and Yale, framed around the possibility that AI agents may learn from past experience that is wrong.
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