Imagen de Portada

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Woosung, Lee, Jinho, Lee, Jongmin, Lee, Byung-Jun
Formato:	Preprint
Publicado:	2025
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

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

[Re] FairDICE: A Fair Tradeoff in Multi-objective Offline RL
por: Adema, Peter, et al.
Publicado: (2026)

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

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning
por: Lee, Hosung, et al.
Publicado: (2024)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning
por: Mao, Liyuan, et al.
Publicado: (2024)

TABX: A High-Throughput Sandbox Battle Simulator for Multi-Agent Reinforcement Learning
por: Lee, Hayeong, et al.
Publicado: (2026)

A Recipe for Stable Offline Multi-agent Reinforcement Learning
por: Lee, Dongsu, et al.
Publicado: (2026)

Fair Bayesian Model-Based Clustering
por: Lee, Jihu, et al.
Publicado: (2025)

Fair Clustering via Alignment
por: Kim, Kunwoong, et al.
Publicado: (2025)

Fairness Through Matching
por: Kim, Kunwoong, et al.
Publicado: (2025)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
por: Song, Yeda, et al.
Publicado: (2024)

SimuDICE: Offline Policy Optimization Through World Model Updates and DICE Estimation
por: Brita, Catalin E., et al.
Publicado: (2024)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
por: Lin, Qian, et al.
Publicado: (2024)

Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
por: Han, Seungyub, et al.
Publicado: (2026)

Exclusively Penalized Q-learning for Offline Reinforcement Learning
por: Yeom, Junghyuk, et al.
Publicado: (2024)

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

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

Group Fairness in Multi-Task Reinforcement Learning
por: Song, Kefan, et al.
Publicado: (2025)

Over-the-Air Fair Federated Learning via Multi-Objective Optimization
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2025)

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
por: Song, Chihyeon, et al.
Publicado: (2025)

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

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

DAFA: Distance-Aware Fair Adversarial Training
por: Lee, Hyungyu, et al.
Publicado: (2024)

Fast Ensembling with Diffusion Schrödinger Bridge
por: Kim, Hyunsu, et al.
Publicado: (2024)

Constructing Fair Latent Space for Intersection of Fairness and Explainability
por: Joo, Hyungjun, et al.
Publicado: (2024)

GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
por: Lee, Jaewoo, et al.
Publicado: (2024)

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

Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning
por: Park, Jongchan, et al.
Publicado: (2025)

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

Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Task
por: Kim, Yunho, et al.
Publicado: (2024)

FairPO: Robust Preference Optimization for Fair Multi-Label Learning
por: Mondal, Soumen Kumar, et al.
Publicado: (2025)

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
por: Lee, Haanvid, et al.
Publicado: (2024)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
por: Kim, Donghu, et al.
Publicado: (2024)

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

DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
por: Shrestha, Aayam, et al.
Publicado: (2020)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
por: Yuan, Yifu, et al.
Publicado: (2024)

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

Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care Management
por: Basu, Sanjay, et al.
Publicado: (2025)

Fairness under uncertainty in sequential decisions
por: Lee, Michelle Seng Ah, et al.
Publicado: (2026)

NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
por: Kim, Myunsoo, et al.
Publicado: (2025)