Agents4h ago
Google AI Research Debuts ReasoningBank
ReasoningBank provides a structured dataset of agent trajectories to improve how models learn from past failures. This framework allows agents to refine their logic through experience rather than static prompts. It targets the reliability gap in complex task execution. Practitioners can now train agents to self-correct more effectively using these curated interaction logs.