Agents can consolidate in-context trial-and-error learning into their weights by distilling one-step teacher decisions at recorded histories, needing no additional environment interaction.
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Sample-Efficient Learning from Agent Experience
Agents can consolidate in-context trial-and-error learning into their weights by distilling one-step teacher decisions at recorded histories, needing no additional environment interaction.