Trust Region

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3 papers in the last 28 days · 0.0% of indexed attention

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Period ending 2026-09-21

1 new paper

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Period ending 2026-09-14

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A weekly snapshot of new work published in Trust Region.

37 papers

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Robust Trust
Sep 14, 2026Piotr Dworczak, Alex SmolinInitial Human Belief Distributions Agent Decisions
MpSub: A Momentum $p$ -Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models
Sep 7, 2026Yuyang Wang, Haoyu Yao, Pengcheng XieTrust Region Backpropagation
TACS: Trajectory-Aware Candidate Selection for LLM Jailbreak Suffix Optimization
Aug 30, 2026Shiliang XiaoNovel Jailbreak Method Jailbreak Detection
Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness
Jul 30, 2026Kağan Akman, Naci Saldi, Serdar YükselGeneralization Bounds Distributional Learning
Optimization with Dynamic Constraint Learning (DCL)
Jul 28, 2026Ezgi Oztekin, Figen Oztoprak, S. Ilker BirbilConstrained Optimization Trust Region
A Trust-region Framework for Moment Estimation
Jul 26, 2026Oluwasegun A. SomefunTrust Region Stochastic Gradient Descent
Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforcement Learning
Jul 24, 2026Guanqun Zhao, Zijun Xie, Binbin Zheng +5Off-Policy Evaluation Training-Inference Mismatch
Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning
Jul 21, 2026Junyao Yang, Yucheng Shi, Zongxia Li +6Trust Region Gradient Staleness
OR Else: A Differentiable Trust Region for Policy Optimization
Jul 20, 2026Chinmay Rane, Kanishka Tyagi, Michael ManryGroup Relative Policy Optimization Large Language Model Post-Training
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Quantum Neural Networks Many-Body Physics
EntroRouter: Learning Efficient Model Routing via Entropy Regulation
Jun 28, 2026Kaiyi Zhang, Xueliang Zhao, Zhuocheng Gong +2Adaptive Routing Trust Region
Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning
Jun 24, 2026Bang Giang Le, Viet Cuong TaMulti-Agent Reinforcement Learning Trust Region
TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning
Jun 16, 2026Zijie Meng, Ziwei Li, Yufei Liu +5Multi-Agent Reinforcement Learning Safety Constraints
Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning
Jun 11, 2026Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1Trajectory Optimization Trust Region
$α$ -fair heterogeneous agent reinforcement learning
Jun 11, 2026Yao-hua Franck Xu, Tayeb Lemlouma, Jean-Marie Bonnin +1Fairness-Aware Learning Multi-Agent Reinforcement Learning
Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning
Jun 9, 2026Renjie Mao, Xiangxin Zhou, Lvfang Tao +7Reinforcement Learning With Verifiable Reward Verifiable Rewards
Rethinking the Divergence Regularization in LLM RL
Jun 8, 2026Jiarui Yao, Xiangxin Zhou, Penghui Qi +3Trust Region Bregman Divergences
Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions
Jun 2, 2026Bingxu Liu, Jiashun Liu, Johan Obando-Ceron +5Proximal Policy Optimization Multi-Objective Policy Optimization
Trust-Region Behavior Blending for On-Policy Distillation
May 29, 2026Daniil Plyusov, Alexey Gorbatovski, Alexey Malakhov +4On-Policy Distillation Trust Region
Best-Arm Identification-Based Trust Region Selection for Bayesian Optimization on Multimodal Functions
May 29, 2026Nobuo Namura, Sho TakemoriBayesian Optimization Trust Region
Off-Policy Learning to Reason Works Because It Is More Pessimistic Than You Think
May 27, 2026Otmane Sakhi, Aleksei Arzhantsev, Imad Aouali +1Off-Policy Evaluation Pessimism
Ratio-Variance Regularized Policy Optimization
May 26, 2026Yu Luo, Shuo Han, Yihan Hu +5Trust Region
Smoother Action Chunking Flow Policy via Prior-Corrected Orthogonal Trust-Region Guidance
May 23, 2026Kai Fang, Hailong Pei, Xuemin ChiAction Chunks Neural Guidance
A Non-Monotone Preconditioned Trust-Region Method for Neural Network Training
May 14, 2026Andrea Angino, Bindi Çapriqi, Shega Likaj +2Spectral Preconditioning Neural Network Optimization
Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation
May 14, 2026Yuheng Wu, Xiangbo Gao, Tianhao Chen +4Autoregressive Video Generation Multi-Objective Policy Optimization
Aligning Flow Map Policies with Optimal Q-Guidance
May 12, 2026Christos Ziakas, Alessandra Russo, Avishek Joey BoseFlow-Based Policy Neural Guidance
Rethinking Ratio-Based Trust Regions for Policy Optimization in Multi-Agent Reinforcement Learning
May 9, 2026Chulabhaya Wijesundara, Andrea Baisero, Zhongheng Li +3Multi-Agent Reinforcement Learning Trust Region
ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection
Apr 29, 2026Hui Wang, Hongze Li, Wei Chen +1Feature Pyramid Networks Training-Free
Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty
Apr 28, 2026Zhangyong Liang, Jie Hou, Huanhuan Gao +1Optimal Design Robust Optimization
Query-Efficient Quantum Approximate Optimization via Graph-Conditioned Trust Regions
Apr 27, 2026Molena HuynhQuantum Approximate Optimization Algorithm Approximation Algorithms
Rethinking Trust Region Bayesian Optimization in High Dimensions
Apr 24, 2026Wei-Ting Tang, Joel A. PaulsonBayesian Optimization Trust Region
Bounded Ratio Reinforcement Learning
Apr 20, 2026Yunke Ao, Le Chen, Bruce D. Lee +5Proximal Policy Optimization Deep Reinforcement Learning
Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models
Mar 15, 2026Niklas Schweiger, Daniel Cremers, Karnik RamGenerative Models Trust Region
Local Constrained Bayesian Optimization
Mar 9, 2026Jing Jingzhe, Fan Zheyi, Szu Hui Ng +1Bayesian Optimization Trust Region
QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning
Feb 4, 2026Doyeon Lee, Eunyi Lyou, Hyunsoo Cho +3Reinforcement Fine-Tuning Large Language Model Fine-Tuning
Trust Region Masking for Long-Horizon LLM Reinforcement Learning
Dec 28, 2025Yingru Li, Jiacai Liu, Jiawei Xu +4Trust Region Off-Policy Evaluation
Recursive Entropic Variational Inference for Nonlinear State-Space Models
Nov 19, 2025Hany Abdulsamad, Ángel F. García-Fernández, Simo SärkkäVariational Inference State Space Models

Sep 14, 2026 · econ.THJ/K move · Enter open · S save

Robust Trust

Piotr Dworczak, Alex Smolin

An agent chooses an action based on her private information and a recommendation from an informed but potentially misaligned adviser. With a known probability, the adviser truthfully reports his signal; with the remaining probability, he can send any message. We characterize optimal robust decision rules that maximize the agent's worst-case expected payoff. Every optimal rule is equivalent to a trust-region policy in belief space: the adviser's reported beliefs are taken at face value if they fall within the trust region but are otherwise clipped to the trust region's boundary. We derive alignment thresholds above which advice is strictly valuable and fully characterize the solution in both binary-state and binary-action environments.

Initial Human Belief Distributions Agent Decisions Trust Region Belief Space Trustworthy Artificial Intelligence

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