Co-authored Reflexion: a practical pattern for improving agents via self-critique and memory.
Researcher Profile
Federico Cassano
Self-reflection loops for LLM agents (Reflexion)
Co-author, Reflexion
Co-authored Reflexion: a practical pattern for improving agents via self-critique and memory.
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Last updated
March 20, 2026
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01
Self-reflection loops for LLM agents (Reflexion)
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Reflexion: Language Agents with Verbal Reinforcement Learning
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Agents
04
Reinforcement Learning
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Co-authored Reflexion: a practical pattern for improving agents via self-critique and memory.
Co-authored Reflexion: a practical pattern for improving agents via self-critique and memory.
A high-signal researcher for understanding how DeepMind approaches generality, especially in areas where reinforcement learning, multimodality, and large-scale systems meet.
A high-signal reinforcement-learning researcher whose work sits on the path from AlphaGo-era planning systems to Gemini-era reasoning and post-training techniques.
Important because his work bridges classical machine-learning theory, autonomous-driving safety, and more recent frontier-model research rather than staying inside a single subfield.