Cover Image

Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Qian, Tang, Bo, Wu, Zifan, Yu, Chao, Mao, Shangqin, Xie, Qianlong, Wang, Xingxing, Wang, Dong
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Off-Policy Primal-Dual Safe Reinforcement Learning
by: Wu, Zifan, et al.
Published: (2024)

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)

HiBid: A Cross-Channel Constrained Bidding System with Budget Allocation by Hierarchical Offline Deep Reinforcement Learning
by: Wang, Hao, et al.
Published: (2023)

Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)

Integrating LTL Constraints into PPO for Safe Reinforcement Learning
by: Zhang, Maifang, et al.
Published: (2026)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)

Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
by: Zhou, Jiahong, et al.
Published: (2023)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

SimGenHOI: Physically Realistic Whole-Body Humanoid-Object Interaction via Generative Modeling and Reinforcement Learning
by: Lin, Yuhang, et al.
Published: (2025)

NEXUS: Continual Learning of Symbolic Constraints for Safe and Robust Embodied Planning
by: Cui, Tiehan, et al.
Published: (2026)

Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
by: Kwon, Hyeokjin, et al.
Published: (2024)

Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
by: Li, Huanyu, et al.
Published: (2026)

Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)

ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)

BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
by: Chen, Zhongxi, et al.
Published: (2026)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)

Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
by: Cao, Hongpeng, et al.
Published: (2024)

Real-Time Communication-Aware Ride-Sharing Route Planning for Urban Air Mobility: A Multi-Source Hybrid Attention Reinforcement Learning Approach
by: Xie, Yuejiao, et al.
Published: (2025)

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
by: Cheng, Xiang, et al.
Published: (2024)

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)

DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
by: He, Linjin, et al.
Published: (2025)

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics
by: Josifovski, Josip, et al.
Published: (2025)

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
by: Abe, Haruki, et al.
Published: (2026)

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model
by: Wang, Zihan, et al.
Published: (2025)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

A Clean Slate for Offline Reinforcement Learning
by: Jackson, Matthew Thomas, et al.
Published: (2025)

Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement Learning
by: Tan, Min, et al.
Published: (2024)

Goal-Conditioned Decision Transformer for Multi-Goal Offline Reinforcement Learning
by: Gajewski, Paweł, et al.
Published: (2024)

Grounded Curriculum Learning
by: Wang, Linji, et al.
Published: (2024)

Deployable Reinforcement Learning with Variable Control Rate
by: Wang, Dong, et al.
Published: (2024)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
by: Xia, Zhangjie, et al.
Published: (2026)

Handling Delay in Real-Time Reinforcement Learning
by: Anokhin, Ivan, et al.
Published: (2025)

Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints
by: Liu, Huajian, et al.
Published: (2025)

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)