Learning to Steer LLM Agents and Multi-Agent Systems

arXiv:2610.22316 · cs.LG, cs.AI, cs.MA · Submitted 2026-10-15 · Read on arXiv

cs.LG, cs.AI, cs.MA

Submitted: 2026-10-15

Updated: 2026-10-15

Comments: 21 pages, 6 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Multi-Agent System — 1× in this paper · explained in 6 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks