Google proposes ReasoningBank, helping agents learn from successes and failures
ReasoningBank: Enabling agents to learn from experience
What happened
In an ICLR paper, Google Research proposes ReasoningBank, an agent-memory framework that extracts high-level, structured reasoning memories from successful and failed experiences. Its code is open-source.
Why it matters
The paper describes a closed loop for extracting reasoning memories from successes and failures, with success-rate and step-count results on WebArena and SWE-Bench-Verified.
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