Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Brahmanage, Janaka Chathuranga, Kumar, Akshat |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2025)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2025)
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)
by: Gong, Ze, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)
by: Huang, Xingshuai, et al.
Published: (2024)
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
by: Low, Siow Meng, et al.
Published: (2024)
by: Low, Siow Meng, et al.
Published: (2024)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)
by: Huang, Jianuo
Published: (2024)
Your Learned Constraint is Secretly a Backward Reachable Tube
by: Qadri, Mohamad, et al.
Published: (2025)
by: Qadri, Mohamad, et al.
Published: (2025)
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)
by: Hou, Yiwen, et al.
Published: (2024)
A Clean Slate for Offline Reinforcement Learning
by: Jackson, Matthew Thomas, et al.
Published: (2025)
by: Jackson, Matthew Thomas, et al.
Published: (2025)
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
by: Tayal, Mumuksh, et al.
Published: (2026)
by: Tayal, Mumuksh, et al.
Published: (2026)
Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)
by: Abouelazm, Ahmed, et al.
Published: (2026)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, et al.
Published: (2024)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)
by: Ada, Suzan Ece, et al.
Published: (2025)
Variational OOD State Correction for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)
by: Jiang, Ke, et al.
Published: (2025)
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)
by: Baek, Seungho, et al.
Published: (2025)
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)
by: Hussing, Marcel, et al.
Published: (2023)
Integrating LTL Constraints into PPO for Safe Reinforcement Learning
by: Zhang, Maifang, et al.
Published: (2026)
by: Zhang, Maifang, et al.
Published: (2026)
Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)
by: Vignola, Luca, et al.
Published: (2026)
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)
by: Cao, Chenyang, et al.
Published: (2024)
Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)
by: Vlastelica, Marin, et al.
Published: (2023)
A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)
by: Lee, Dongsu, et al.
Published: (2026)
Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)
by: Springenberg, Jost Tobias, et al.
Published: (2024)
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)
by: Song, Yeda, et al.
Published: (2024)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
GUARD: A Safe Reinforcement Learning Benchmark
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
by: Wu, Kun, et al.
Published: (2024)
by: Wu, Kun, et al.
Published: (2024)
Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024)
by: Eckel, David, et al.
Published: (2024)
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)
by: Tang, Cheng, et al.
Published: (2024)
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)
by: Pan, Minting, et al.
Published: (2025)
Similar Items
-
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2025) -
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024) -
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023) -
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025) -
Offline Safe Reinforcement Learning Using Trajectory Classification
by: Gong, Ze, et al.
Published: (2024)