Cover Image

Binary Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Yinglun, Zhu, David, Gumaste, Rohan, Singh, Gagandeep
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning
by: Xu, Yinglun, et al.
Published: (2024)

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

Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks
by: Xu, Yinglun, et al.
Published: (2024)

Learning a Pessimistic Reward Model in RLHF
by: Xu, Yinglun, et al.
Published: (2025)

From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
by: Yang, Jun-Jie, et al.
Published: (2026)

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

Diffusion Classifier-Driven Reward for Offline Preference-based Reinforcement Learning
by: Pang, Teng, et al.
Published: (2025)

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
by: Ugare, Shubham, et al.
Published: (2024)

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

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

Binary Rewards and Reinforcement Learning: Fundamental Challenges
by: Dymetman, Marc
Published: (2026)

Reward-Relevance-Filtered Linear Offline Reinforcement Learning
by: Zhou, Angela
Published: (2024)

Robust Offline Reinforcement learning with Heavy-Tailed Rewards
by: Zhu, Jin, et al.
Published: (2023)

Provable Reward-Agnostic Preference-Based Reinforcement Learning
by: Zhan, Wenhao, et al.
Published: (2023)

From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
by: Chaudhary, Gaurav, et al.
Published: (2025)

Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing
by: Asodia, Vinal, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning
by: Yin, Shuyu, et al.
Published: (2024)

Reward Learning From Preference With Ties
by: Liu, Jinsong, et al.
Published: (2024)

The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
by: Chen, Xi, et al.
Published: (2024)

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

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
by: Huang, Yu, et al.
Published: (2026)

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

Residual Reward Models for Preference-based Reinforcement Learning
by: Cao, Chenyang, et al.
Published: (2025)

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

medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions
by: Xu, Qianyi, et al.
Published: (2026)

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

LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy
by: Yang, Hsin-Jung, et al.
Published: (2026)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
by: Bui, The Viet, et al.
Published: (2025)

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning
by: Venugopal, Aravind, et al.
Published: (2026)

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
by: Metcalf, Katherine, et al.
Published: (2024)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
by: Rajaram, Sara, et al.
Published: (2025)

A Risk-Aware Reinforcement Learning Reward for Financial Trading
by: Srivastava, Uditansh, et al.
Published: (2025)

Reward-Conditioned Reinforcement Learning
by: Nauman, Michal, et al.
Published: (2026)

Interactive Machine Learning: From Theory to Scale
by: Zhu, Yinglun
Published: (2025)

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
by: Neupane, Dhiraj, et al.
Published: (2026)

REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
by: Chakraborty, Souradip, et al.
Published: (2023)

Code as Reward: Empowering Reinforcement Learning with VLMs
by: Venuto, David, et al.
Published: (2024)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
by: Kar, Avik, et al.
Published: (2024)

Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
by: Peng, Andi, et al.
Published: (2024)