Cover Image

OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahn, Woo-Jin, Baek, Sang-Ryul, Lee, Yong-Jun, Choi, Hyun-Duck, Lim, Myo-Taeg
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

Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning
by: Ahn, Woo-Jin, et al.
Published: (2024)

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

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

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

Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)

Offline Imitation Learning by Controlling the Effective Planning Horizon
by: Ahn, Hee-Jun, et al.
Published: (2024)

Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
by: Ahn, Hongjoon, et al.
Published: (2025)

Offline Reinforcement Learning with Penalized Action Noise Injection
by: Oh, JunHyeok, et al.
Published: (2025)

Semi-gradient DICE for Offline Constrained Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

OMG-RL:Offline Model-based Guided Reward Learning for Heparin Treatment
by: Lim, Yooseok, et al.
Published: (2024)

Offline Hierarchical Reinforcement Learning via Inverse Optimization
by: Schmidt, Carolin, et al.
Published: (2024)

TROFI: Trajectory-Ranked Offline Inverse Reinforcement Learning
by: Sestini, Alessandro, et al.
Published: (2025)

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

OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
by: Bokade, Rohit, et al.
Published: (2024)

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

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

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

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

Model-based Offline Quantum Reinforcement Learning
by: Eisenmann, Simon, et al.
Published: (2024)

Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
by: Wang, Qi, et al.
Published: (2023)

Prior-Guided Diffusion Planning for Offline Reinforcement Learning
by: Ki, Donghyeon, et al.
Published: (2025)

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

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

State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
by: Rowe, Luke, et al.
Published: (2024)

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
by: Baheri, Ali
Published: (2025)

Residuals-based Offline Reinforcement Learning
by: Zhu, Qing, et al.
Published: (2026)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025)

Online Pre-Training for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2025)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
by: Yoo, Minjong, et al.
Published: (2024)

OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)

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

Future Policy Approximation for Offline Reinforcement Learning Improves Mathematical Reasoning
by: Oh, Minjae, et al.
Published: (2025)

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024)

Equivariant Offline Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2024)

Federated Offline Reinforcement Learning
by: Zhou, Doudou, et al.
Published: (2022)

Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
by: Linial, Ori, et al.
Published: (2024)

Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)

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