:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Li, Xiu
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2602.18494
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting
by: Wang, Yijun, et al.
Published: (2026)

Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
by: Qiao, Zhongjian, et al.
Published: (2023)

Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
by: Chen, Yile, et al.
Published: (2024)

ODRL: A Benchmark for Off-Dynamics Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2024)

Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
by: Lyu, Jiafei, et al.
Published: (2024)

A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024)

Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
by: Qu, Xingwei, et al.
Published: (2025)

Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces
by: Laine, Timo Aukusti
Published: (2025)

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency
by: Luo, Yuxiang, et al.
Published: (2026)

From Observations to Parameters: Detecting Changepoint in Nonlinear Dynamics with Simulation-based Inference
by: Deng, Xiangbo, et al.
Published: (2025)

Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024)

CN-Buzz2Portfolio: A Chinese-Market Dataset and Benchmark for LLM-Based Macro and Sector Asset Allocation from Daily Trending Financial News
by: Chen, Liyuan, et al.
Published: (2026)

DySCo: Dynamic Semantic Compression for Effective Long-term Time Series Forecasting
by: Ao, Xiang, et al.
Published: (2026)

SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
by: Peng, Zhao-Han, et al.
Published: (2026)

Learning Fused State Representations for Control from Multi-View Observations
by: Wang, Zeyu, et al.
Published: (2025)

PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)

Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)

Semantic-guided LoRA Parameters Generation
by: Li, Miaoge, et al.
Published: (2025)

Generalizing Few Data to Unseen Domains Flexibly Based on Label Smoothing Integrated with Distributionally Robust Optimization
by: Wang, Yangdi, et al.
Published: (2024)

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data
by: Leung, Cheuk Hang, et al.
Published: (2025)

SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization
by: Meindl, Jamison, et al.
Published: (2025)

Agentic Learner with Grow-and-Refine Multimodal Semantic Memory
by: Bo, Weihao, et al.
Published: (2025)

Modeling and Performance Analysis for Semantic Communications Based on Empirical Results
by: Ma, Shuai, et al.
Published: (2025)

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2025)

Learning to Theorize the World from Observation
by: Baek, Doojin, et al.
Published: (2026)

Observation-Guided Diffusion Probabilistic Models
by: Kang, Junoh, et al.
Published: (2023)

Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning
by: Bellinger, Colin, et al.
Published: (2023)

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
by: Li, Zhonghao, et al.
Published: (2026)

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)

World Models with Hints of Large Language Models for Goal Achieving
by: Liu, Zeyuan, et al.
Published: (2024)

Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations
by: Jaiswal, Ajay, et al.
Published: (2025)

RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
by: Li, Haolin, et al.
Published: (2024)

Observation-Free Attacks on Online Learning to Rank
by: Chattopadhyay, Sameep, et al.
Published: (2025)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
by: Li, Xinyi, et al.
Published: (2026)

Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval
by: Hu, Tianle, et al.
Published: (2025)

Semantic Context for Tool Orchestration
by: Müller, Robert
Published: (2025)

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
by: Wu, Xinghao, et al.
Published: (2025)

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
by: Zhang, Yang, et al.
Published: (2024)