#multi-turn-tasks News & Analysis

2 articles tagged with #multi-turn-tasks. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 17/10

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HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents

Researchers introduce HiPER, a hierarchical reinforcement learning framework that separates high-level planning from low-level execution for training LLM agents. The approach uses hierarchical advantage estimation to improve credit assignment in sparse-reward environments, achieving state-of-the-art results on interactive benchmarks with significant gains on long-horizon tasks.

AIBullisharXiv – CS AI · Apr 146/10

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Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents

Researchers introduce Skill-SD, a novel training framework for multi-turn LLM agents that improves sample efficiency by converting successful agent trajectories into dynamic natural language skills that condition a teacher model. The approach combines reinforcement learning with self-distillation and achieves significant performance improvements over baseline methods on benchmark tasks.