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AI agent reportedly learns to solve tasks its original policy failed 128 times in a row
The post’s author says the agent internalized task-specific self-feedback and learned to solve tasks where GRPO had flatlined.
TLDR
The post’s author says they let an agent self-improve by exploring and internalizing feedback about what to keep in mind for particular tasks. They report that it learned to solve tasks its original policy failed 128 attempts in a row, while GRPO flatlined. The post links to a paper.
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