Papers
41,667 papers found
History-Aware Reasoning for GUI Agents
Ziwei Wang, Leyang Yang, Xiaoxuan Tang et al.
Good-for-MDP State Reduction for Stochastic LTL Planning
Christoph Weinhuber, Giuseppe De Giacomo, Yong Li et al.
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
Rui Zhang, Jianwei Niu, Xuefeng Liu et al.
A TSP-Based Algorithm for Multi-League Traveling Tournament
Jingyang Zhao, Mingyu Xiao, Ken-Ichi Kawarabayashi
Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
Bosun Kang, Hyejun Park, Chenglin Fan
MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping
Wenjia Meng, Teng Zhang, Haoliang Sun et al.
Improved Streaming Algorithm for Fair k-Center Clustering
Longkun Guo, Zeyu Lin, Chaoqi Jia et al.
Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search
Gal Hadar, Forest Agostinelli, Shahaf S. Shperberg
Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach
Chaoqi Jia, Longkun Guo, Kewen Liao et al.
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data
Fan Li, Shengbo Wang, Ke Li
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
Fei Liu, Yilu Liu, Qingfu Zhang et al.
Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions
Daniel Platnick, Dawson Tomasz, Eamon Earl et al.
Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation
Dongyoon Hahm, Taywon Min, Woogyeol Jin et al.
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
Zexi Li, Xiangzhu Wang, William F. Shen et al.
Quiet Feature Learning in Algorithmic Tasks
Prudhviraj Naidu, Zixian Wang, Leon Bergen et al.
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding
Youze Wang, Zijun Chen, Ruoyu Chen et al.
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin et al.
Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation
Junwen Zheng, Xinran Xu, Li Rong Wang et al.
Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification
Abhipsa Basu, Aviral Gupta, Abhijnya Bhat et al.
Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study
Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano et al.
Building Instance Segmentation for Dense Urban Settlements
Adnan Firoze, Raymond A. Yeh, Daniel Aliaga
Budgeted Online Active Learning with Expert Advice and Episodic Priors
Kristen Goebel, William Solow, Paola Pesantez-Cabrera et al.
Language Models and Logic Programs for Trustworthy Tax Reasoning
William Jurayj, Nils Holzenberger, Benjamin Van Durme
Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining
Bingxuan Li, Pengyi Shi, Amy R Ward