Cover Image

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Hyungkyu, Oh, Min-hwan
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

Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
by: Kang, Hyungkyu, et al.
Published: (2026)

Multi-Step Likelihood-Ratio Correction for Reinforcement Learning with Verifiable Rewards
by: Yoon, Deokgyu, et al.
Published: (2026)

Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
by: Lee, Joongkyu, et al.
Published: (2025)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
by: Zhang, Tianle, et al.
Published: (2024)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

Latent Adversarial Regularization for Offline Preference Optimization
by: Jiang, Enyi, et al.
Published: (2026)

Preference Elicitation for Offline Reinforcement Learning
by: Pace, Alizée, et al.
Published: (2024)

Combinatorial Reinforcement Learning with Preference Feedback
by: Lee, Joongkyu, et al.
Published: (2025)

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

Peng's Q($λ$) for Conservative Value Estimation in Offline Reinforcement Learning
by: Kim, Byeongchan, et al.
Published: (2026)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)

LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
by: Liu, Xiao-Yin, et al.
Published: (2024)

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
by: Tu, Songjun, et al.
Published: (2024)

Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)

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

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)

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

Automatic Constraint Policy Optimization based on Continuous Constraint Interpolation Framework for Offline Reinforcement Learning
by: Han, Xinchen, et al.
Published: (2026)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

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

Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)

Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025)

ISEP: Implicit Support Expansion for Offline Reinforcement Learning via Stochastic Policy Optimization
by: Chen, Yifei, et al.
Published: (2026)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Evaluation-Time Policy Switching for Offline Reinforcement Learning
by: Neggatu, Natinael Solomon, et al.
Published: (2025)

Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)

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

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?
by: Omori, Yumi, et al.
Published: (2025)

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
by: Gao, Xiancheng, et al.
Published: (2025)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
by: Xu, Yinglun, et al.
Published: (2023)

Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)

Percentile Criterion Optimization in Offline Reinforcement Learning
by: Lobo, Elita A., et al.
Published: (2024)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)

Policy Constraint by Only Support Constraint for Offline Reinforcement Learning
by: Gao, Yunkai, et al.
Published: (2025)

Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data
by: Madhow, Sunil, et al.
Published: (2023)