Imagen de Portada

OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lim, Yooseok, Lee, Sujee
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
por: Lim, Yooseok, et al.
Publicado: (2024)

Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals
por: Lim, Yooseok, et al.
Publicado: (2024)

MORE-CLEAR: Multimodal Offline Reinforcement learning for Clinical notes Leveraged Enhanced State Representation
por: Lim, Yooseok, et al.
Publicado: (2025)

STO-RL: Offline RL under Sparse Rewards via LLM-Guided Subgoal Temporal Order
por: Gu, Chengyang, et al.
Publicado: (2026)

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
por: Ahn, Woo-Jin, et al.
Publicado: (2025)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
por: Kim, Jeonghye, et al.
Publicado: (2025)

GAS: Enhancing Reward-Cost Balance of Generative Model-assisted Offline Safe RL
por: Liu, Zifan, et al.
Publicado: (2026)

Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
por: Lee, Younghwan, et al.
Publicado: (2025)

Scalable Offline Model-Based RL with Action Chunks
por: Park, Kwanyoung, et al.
Publicado: (2025)

AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
por: Lee, Dongsu, et al.
Publicado: (2024)

Dual Alignment Maximin Optimization for Offline Model-based RL
por: Zhou, Chi, et al.
Publicado: (2025)

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies
por: Chen, Jiaqi, et al.
Publicado: (2025)

Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation
por: Duan, Xintong, et al.
Publicado: (2025)

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
por: Choi, Heewoong, et al.
Publicado: (2024)

Design Considerations in Offline Preference-based RL
por: Agarwal, Alekh, et al.
Publicado: (2025)

Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
por: Yun, Taeyoung, et al.
Publicado: (2024)

Offline Reinforcement Learning with Imputed Rewards
por: Romeo, Carlo, et al.
Publicado: (2024)

CROP: Conservative Reward for Model-based Offline Policy Optimization
por: Li, Hao, et al.
Publicado: (2023)

Advancing Safe Mechanical Ventilation Using Offline RL With Hybrid Actions and Clinically Aligned Rewards
por: Yousuf, Muhammad Hamza, et al.
Publicado: (2025)

Are Expressive Models Truly Necessary for Offline RL?
por: Wang, Guan, et al.
Publicado: (2024)

Budgeting Counterfactual for Offline RL
por: Liu, Yao, et al.
Publicado: (2023)

Is Value Learning Really the Main Bottleneck in Offline RL?
por: Park, Seohong, et al.
Publicado: (2024)

The Role of Deep Learning Regularizations on Actors in Offline RL
por: Tarasov, Denis, et al.
Publicado: (2024)

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
por: Park, Kwanyoung, et al.
Publicado: (2024)

Exploring and Addressing Reward Confusion in Offline Preference Learning
por: Chen, Xin, et al.
Publicado: (2024)

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

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

Decoupled Prioritized Resampling for Offline RL
por: Yue, Yang, et al.
Publicado: (2023)

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

Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies
por: Shin, Dong-Hee, et al.
Publicado: (2025)

An Empirical Study on the Effectiveness of Incorporating Offline RL As Online RL Subroutines
por: Su, Jianhai, et al.
Publicado: (2025)

Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners
por: Muslimani, Calarina, et al.
Publicado: (2025)

DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
por: Kim, Changyeon, et al.
Publicado: (2025)

Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
por: Mark, Max Sobol, et al.
Publicado: (2024)

Chain-of-Goals Hierarchical Policy for Long-Horizon Offline Goal-Conditioned RL
por: Choi, Jinwoo, et al.
Publicado: (2026)

OGBench: Benchmarking Offline Goal-Conditioned RL
por: Park, Seohong, et al.
Publicado: (2024)

A Tractable Inference Perspective of Offline RL
por: Liu, Xuejie, et al.
Publicado: (2023)

Offline Reinforcement Learning with Universal Horizon Models
por: Chung, Hojun, et al.
Publicado: (2026)

Offline Multi-task Transfer RL with Representational Penalization
por: Bose, Avinandan, et al.
Publicado: (2024)

Yes, Q-learning Helps Offline In-Context RL
por: Tarasov, Denis, et al.
Publicado: (2025)