Cover Image

Offline Behavioral Data Selection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lei, Shiye, Cheng, Zhihao, Tao, Dacheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Offline Behavior Distillation
by: Lei, Shiye, et al.
Published: (2024)

A Step Back: Prefix Importance Ratio Stabilizes Policy Optimization
by: Lei, Shiye, et al.
Published: (2026)

State Diversity Matters in Offline Behavior Distillation
by: Lei, Shiye, et al.
Published: (2025)

Revisiting LLM Reasoning via Information Bottleneck
by: Lei, Shiye, et al.
Published: (2025)

Image Captions are Natural Prompts for Text-to-Image Models
by: Lei, Shiye, et al.
Published: (2023)

Solving Continual Offline Reinforcement Learning with Decision Transformer
by: Huang, Kaixin, et al.
Published: (2024)

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Fan, Ziqing, et al.
Published: (2024)

LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
by: Hu, Jifeng, et al.
Published: (2024)

Model-Based Proactive Cost Generation for Learning Safe Policies Offline with Limited Violation Data
by: Xue, Ruiqi, et al.
Published: (2026)

Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)

Offline Reinforcement Learning with Behavioral Supervisor Tuning
by: Srinivasan, Padmanaba, et al.
Published: (2024)

Selective Uncertainty Propagation in Offline RL
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2023)

Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
by: Liu, Hui, et al.
Published: (2025)

Offline Learning of Controllable Diverse Behaviors
by: Petitbois, Mathieu, et al.
Published: (2025)

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
by: Xu, Jiawei, et al.
Published: (2024)

Continual Learning on Graphs: Challenges, Solutions, and Opportunities
by: Zhang, Xikun, et al.
Published: (2024)

Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
by: Hu, Zixuan, et al.
Published: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

SelfBC: Self Behavior Cloning for Offline Reinforcement Learning
by: Liu, Shirong, et al.
Published: (2024)

Augmenting Offline RL with Unlabeled Data
by: Wang, Zhao, et al.
Published: (2024)

When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
by: Liu, Vincent, et al.
Published: (2023)

DataLight: Offline Data-Driven Traffic Signal Control
by: Zhang, Liang, et al.
Published: (2023)

RAMAC: Multimodal Risk-Aware Offline Reinforcement Learning and the Role of Behavior Regularization
by: Fukazawa, Kai, et al.
Published: (2025)

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
by: Wang, Kuang-Da, et al.
Published: (2024)

Proximal Action Replacement for Behavior Cloning Actor-Critic in Offline Reinforcement Learning
by: Dong, Jinzong, et al.
Published: (2026)

Task-Distributionally Robust Data-Free Meta-Learning
by: Hu, Zixuan, et al.
Published: (2023)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)

Near-Oracle KV Selection via Pre-hoc Sparsity for Long-Context Inference
by: Gao, Yifei, et al.
Published: (2026)

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
by: Zhou, Xue, et al.
Published: (2025)

Automatic Reward Shaping from Confounded Offline Data
by: Li, Mingxuan, et al.
Published: (2025)

Leveraging Offline Data in Linear Latent Contextual Bandits
by: Kausik, Chinmaya, et al.
Published: (2024)

Distillation Traps and Guards: A Calibration Knob for LLM Distillability
by: Zhan, Weixiao, et al.
Published: (2026)

A Theoretical Survey on Foundation Models
by: Fu, Shi, et al.
Published: (2024)

Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning
by: Ma, Pingchuan, et al.
Published: (2026)

Offline Reinforcement Learning with Imbalanced Datasets
by: Jiang, Li, et al.
Published: (2023)

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
by: Fan, Jiajun, et al.
Published: (2023)

Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)