AIBullisharXiv – CS AI · 6h ago7/10
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StraTA: Incentivizing Agentic Reinforcement Learning with Strategic Trajectory Abstraction
Researchers introduce StraTA, a novel reinforcement learning framework that improves LLM agent performance on long-horizon tasks by incorporating explicit trajectory-level strategies alongside action execution. The approach achieves state-of-the-art results on benchmark environments, reaching 93.1% on ALFWorld and 84.2% on WebShop, outperforming existing methods and some closed-source models.