Saved in:
| Main Authors: | Kim, Woosung, Lee, Jinho, Lee, Jongmin, Lee, Byung-Jun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.08062 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Semi-gradient DICE for Offline Constrained Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)
by: Kim, Woosung, et al.
Published: (2025)
[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL
by: Adema, Peter, et al.
Published: (2026)
by: Adema, Peter, et al.
Published: (2026)
Offline Reinforcement Learning with Penalized Action Noise Injection
by: Oh, JunHyeok, et al.
Published: (2025)
by: Oh, JunHyeok, et al.
Published: (2025)
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
by: Lee, Hosung, et al.
Published: (2024)
by: Lee, Hosung, et al.
Published: (2024)
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
by: Lee, Hayeong, et al.
Published: (2026)
by: Lee, Hayeong, et al.
Published: (2026)
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
by: Mao, Liyuan, et al.
Published: (2024)
by: Mao, Liyuan, et al.
Published: (2024)
A Recipe for Stable Offline Multi-agent Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2026)
by: Lee, Dongsu, et al.
Published: (2026)
Fair Bayesian Model-Based Clustering
by: Lee, Jihu, et al.
Published: (2025)
by: Lee, Jihu, et al.
Published: (2025)
Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Fairness Through Matching
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation
by: Brita, Catalin E., et al.
Published: (2024)
by: Brita, Catalin E., 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)
Exclusively Penalized Q-learning for Offline Reinforcement Learning
by: Yeom, Junghyuk, et al.
Published: (2024)
by: Yeom, Junghyuk, et al.
Published: (2024)
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
by: Han, Seungyub, et al.
Published: (2026)
by: Han, Seungyub, et al.
Published: (2026)
Offline Reinforcement Learning with Universal Horizon Models
by: Chung, Hojun, et al.
Published: (2026)
by: Chung, Hojun, et al.
Published: (2026)
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
by: Park, Kwanyoung, et al.
Published: (2024)
by: Park, Kwanyoung, et al.
Published: (2024)
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Fast Ensembling with Diffusion Schrödinger Bridge
by: Kim, Hyunsu, et al.
Published: (2024)
by: Kim, Hyunsu, et al.
Published: (2024)
OffSim: Offline Simulator for Model-based Offline Inverse Reinforcement Learning
by: Ahn, Woo-Jin, et al.
Published: (2025)
by: Ahn, Woo-Jin, et al.
Published: (2025)
Group Fairness in Multi-Task Reinforcement Learning
by: Song, Kefan, et al.
Published: (2025)
by: Song, Kefan, et al.
Published: (2025)
Over-the-Air Fair Federated Learning via Multi-Objective Optimization
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)
Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)
by: Song, Chihyeon, et al.
Published: (2025)
Constructing Fair Latent Space for Intersection of Fairness and Explainability
by: Joo, Hyungjun, et al.
Published: (2024)
by: Joo, Hyungjun, et al.
Published: (2024)
Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task
by: Kim, Yunho, et al.
Published: (2024)
by: Kim, Yunho, et al.
Published: (2024)
DAFA: Distance-Aware Fair Adversarial Training
by: Lee, Hyungyu, et al.
Published: (2024)
by: Lee, Hyungyu, et al.
Published: (2024)
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
by: Lee, Younghwan, et al.
Published: (2025)
by: Lee, Younghwan, et al.
Published: (2025)
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
by: Lee, Haanvid, et al.
Published: (2024)
by: Lee, Haanvid, et al.
Published: (2024)
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
by: Lee, Jaewoo, et al.
Published: (2024)
by: Lee, Jaewoo, et al.
Published: (2024)
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025)
by: Lee, Dongsu, et al.
Published: (2025)
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
by: Kim, Donghu, et al.
Published: (2024)
by: Kim, Donghu, et al.
Published: (2024)
Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
by: Park, Jongchan, et al.
Published: (2025)
by: Park, Jongchan, et al.
Published: (2025)
Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
by: Lim, Yooseok, et al.
Published: (2024)
by: Lim, Yooseok, et al.
Published: (2024)
Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care Management
by: Basu, Sanjay, et al.
Published: (2025)
by: Basu, Sanjay, et al.
Published: (2025)
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
by: Kim, Myunsoo, et al.
Published: (2025)
by: Kim, Myunsoo, et al.
Published: (2025)
Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data
by: Kim, Jeonghye, et al.
Published: (2025)
by: Kim, Jeonghye, et al.
Published: (2025)
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
Fairness under uncertainty in sequential decisions
by: Lee, Michelle Seng Ah, et al.
Published: (2026)
by: Lee, Michelle Seng Ah, et al.
Published: (2026)
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
by: Shrestha, Aayam, et al.
Published: (2020)
by: Shrestha, Aayam, et al.
Published: (2020)
Direct Soft-Policy Sampling via Langevin Dynamics
by: Ki, Donghyeon, et al.
Published: (2026)
by: Ki, Donghyeon, et al.
Published: (2026)
Score-Based One-step MeanFlow Policy Optimization
by: Kim, Kyungyoon, et al.
Published: (2026)
by: Kim, Kyungyoon, et al.
Published: (2026)
Similar Items
-
Semi-gradient DICE for Offline Constrained Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025) -
[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL
by: Adema, Peter, et al.
Published: (2026) -
Offline Reinforcement Learning with Penalized Action Noise Injection
by: Oh, JunHyeok, et al.
Published: (2025) -
ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
by: Lee, Hosung, et al.
Published: (2024) -
TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
by: Lee, Hayeong, et al.
Published: (2026)