Image de couverture de livre

Beyond Simple Sum of Delayed Rewards: Non-Markovian Reward Modeling for Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tang, Yuting, Cai, Xin-Qiang, Pang, Jing-Cheng, Wu, Qiyu, Ding, Yao-Xiang, Sugiyama, Masashi
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Reinforcement Learning from Bagged Reward
par: Tang, Yuting, et autres
Publié: (2024)

Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
par: Cai, Xin-Qiang, et autres
Publié: (2025)

Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
par: Ackermann, Johannes, et autres
Publié: (2025)

Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
par: Ackermann, Johannes, et autres
Publié: (2026)

Recursive Reward Aggregation
par: Tang, Yuting, et autres
Publié: (2025)

Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards
par: Topper, Noah, et autres
Publié: (2024)

Offline Reinforcement Learning with Domain-Unlabeled Data
par: Nishimori, Soichiro, et autres
Publié: (2024)

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction
par: Cai, Xin-Qiang, et autres
Publié: (2026)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes
par: Trapasso, Alessandro, et autres
Publié: (2025)

ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation
par: Tang, Nan, et autres
Publié: (2025)

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
par: Huang, Yu, et autres
Publié: (2026)

Multiplicative Rewards in Markovian Models
par: Baier, Christel, et autres
Publié: (2025)

Offline Reinforcement Learning from Datasets with Structured Non-Stationarity
par: Ackermann, Johannes, et autres
Publié: (2024)

2048: Reinforcement Learning in a Delayed Reward Environment
par: Saligram, Prady, et autres
Publié: (2025)

UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality
par: Cheng, Zelei, et autres
Publié: (2025)

Data-dependent Exploration for Online Reinforcement Learning from Human Feedback
par: Zhang, Zhen-Yu, et autres
Publié: (2026)

Beyond Verifiable Rewards: Scaling Reinforcement Learning for Language Models to Unverifiable Data
par: Tang, Yunhao, et autres
Publié: (2025)

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
par: Cheng, Yuwei, et autres
Publié: (2025)

Mitigating Reward Hacking in RLHF via Advantage Sign Robustness
par: Ono, Shinnosuke, et autres
Publié: (2026)

TDM-R1: Reinforcing Few-Step Diffusion Models with Non-Differentiable Reward
par: Luo, Yihong, et autres
Publié: (2026)

Beyond Rewards in Reinforcement Learning for Cyber Defence
par: Bates, Elizabeth, et autres
Publié: (2026)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
par: Xie, Tianbao, et autres
Publié: (2023)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
par: Bai, Yang, et autres
Publié: (2026)

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
par: Zhang, Yi-Fan, et autres
Publié: (2025)

Diffusion Classifier-Driven Reward for Offline Preference-based Reinforcement Learning
par: Pang, Teng, et autres
Publié: (2025)

Hedging with Sparse Reward Reinforcement Learning
par: Ding, Yiheng, et autres
Publié: (2025)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
par: Gunjal, Anisha, et autres
Publié: (2025)

Deep Reinforcement Learning with Hybrid Intrinsic Reward Model
par: Yuan, Mingqi, et autres
Publié: (2025)

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
par: Lan, Guangchen, et autres
Publié: (2026)

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
par: Yang, Wenjie, et autres
Publié: (2025)

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
par: Wen, Xin-Cheng, et autres
Publié: (2024)

Attention-Based Reward Shaping for Sparse and Delayed Rewards
par: Holmes, Ian, et autres
Publié: (2025)

Compensatory Mechanisms in Prefrontal and Reward Systems Reveal Delayed Brain Aging in Musicians
par: Rui Ma, et autres
Publié: (2025)

Deep Reinforcement Learning for Cloud Manufacturing Task Scheduling via Sparse‐Reward Optimization
par: Shanchen Pang, et autres
Publié: (2026)

Reinforcement Learning with Options and State Representation
par: Ghriss, Ayoub, et autres
Publié: (2024)

Goal-Driven Reward by Video Diffusion Models for Reinforcement Learning
par: Wang, Qi, et autres
Publié: (2025)

Reward Model Routing in Alignment
par: Wu, Xinle, et autres
Publié: (2025)

Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
par: Tang, Xinyu, et autres
Publié: (2025)

BCR-DRL: Behavior- and Context-aware Reward for Deep Reinforcement Learning in Human-AI Coordination
par: Hao, Xin, et autres
Publié: (2024)

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
par: Zang, Yuhang, et autres
Publié: (2025)