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RetroAgent revolutionizes retrosynthesis planning by combining LLMs with structured memory, leading to significantly improved decision-making in complex chemical searches.
ARLArena reveals the hidden instability of agentic RL, offering a path to more reliable LLM-based agents via a novel stable policy optimization method (SAMPO).
