Author

Varun Gandhi

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Jul 2026

GRASP: GRanularity-Aware Search Policy for Agentic RAG

GRASP is introduced, a reinforcement learning (RL) framework for training agents to adaptively coordinate complementary retrieval tools during multi-step reasoning, and it is suggested that learning to coordinate retrieval signals and context granularity is critical for agent's correct reasoning.

Varun Gandhi, Jaewook Lee, Shantanu Todmal et al. · arXiv.org · 0 citations

#machine learning Jun 2026

Hierarchical Experimentalist Agents

HExA shows that learning through active experimentation can help agents discover useful knowledge, acquire reusable skills, and make efficient progress on novel long-horizon tasks.

Abhranil Chandra, Sankaran Vaidyanathan, Utsav Dhanuka et al. · arXiv.org · 0 citations