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M. A. Haque

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#artificial intelligence Preprint May 2026

Skip What You Can Predict: Predictive Repositioning for Policy Optimization for Efficient LLM Training

Predictive Repositioning for Policy Optimization is introduced, which uses two observed optimizer transitions to estimate a farther point along the same-batch optimization trajectory, moves partway toward that point, evaluates the original objective there, and applies a corrective update, giving PrePO a fixed active co...

I. N. Swapnil, Aranya Saha, Tasneea Zahra et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Bridging Thought and Action: Taming Long-Horizon Instability in Open-Source LLM Agents with a MetaTool-Enhanced ROS Framework

An enhanced ROS-Agent based architecture that improves task reliability and execution efficiency for agentic robotic systems using open-source LLMs and introduces a novel intermediate mechanism, termed the MetaTool, which enforces structured planning prior to action execution.

Kazi Abrar Mahmud, Nilotpaul Kundu Dhurubo, Tamal Kirttonia et al. · 0 citations

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