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830 documents correspondants.

Prépublication · 2026 arXiv EN

Differentially Private Sparse Reward Estimation with Preference Feedback

Reinforcement Learning with Human Feedback (RLHF) has become a central paradigm for aligning Large Language Models with human values. However, the reliance on sensitive preference data necessitates rigorous differential privacy (DP) guarantees to prevent user...

Meng Ding, Mingxi Lei et al. #cs.LG
Prépublication · 2026 arXiv EN

AtomicRL: Atomic Reinforcement Learning for Long-Horizon Robotic Manipulation

Vision-language-action (VLA) models have shown promise in robotic manipulation, but imitation learning (IL) alone often struggles to master complex long-horizon skills. Reinforcement learning (RL) offers an effective avenue for further improving VLA policies....

Likui Zhang, Zhe Zhu et al. #cs.RO
Prépublication · 2026 arXiv EN

Parallel AI Agent Collaboration as Graph-Structured Distributed Block Optimization

Parallel AI agents can produce useful local edits yet degrade a shared solution when their edits are combined. We model this coordination problem as discrete block optimization with an exactly evaluable objective and a known dependency graph. Independent sets...

Hanmin Li, Yury Demidovich et al. #cs.MA
Prépublication · 2026 arXiv EN

Charts as Epistemic Actions for Experience-Driven Agentic Data Analysis

Data agents built on ReAct-style loops now execute complex analytical workflows over structured data, yet their intermediate reasoning still runs almost entirely through text. Human analysts instead move between numbers, tables, and charts, reading visual evid...

Xinzhe Wang, Xudong Weng et al. #cs.AI