Cover Image

Reinforcement Learning with Conditional Expectation Reward

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Changyi, Xu, Caijun, Cao, Yixin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Complex Logical Query Answering by Calibrating Knowledge Graph Completion Models
by: Xiao, Changyi, et al.
Published: (2024)

Knowledge Graph Completion by Intermediate Variables Regularization
by: Xiao, Changyi, et al.
Published: (2025)

CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation
by: Peng, Zhongyuan, et al.
Published: (2026)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
by: Cheng, Ruoxi, et al.
Published: (2025)

Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning
by: Beutel, Alex, et al.
Published: (2024)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine
by: Alsadat, Shayan Meshkat, et al.
Published: (2024)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)

Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression
by: Park, Jungsoo, et al.
Published: (2026)

Process Reinforcement through Implicit Rewards
by: Cui, Ganqu, et al.
Published: (2025)

Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
by: Ackermann, Johannes, et al.
Published: (2026)

BNPO: Beta Normalization Policy Optimization
by: Xiao, Changyi, et al.
Published: (2025)

Knowledge Graph Embedding by Normalizing Flows
by: Xiao, Changyi, et al.
Published: (2024)

LEC: Linear Expectation Constraints for Selection-Conditioned Risk Control in Selective Prediction and Routing Systems
by: Wang, Zhiyuan, et al.
Published: (2025)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning
by: Xie, Tianbao, et al.
Published: (2023)

Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)

REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
by: Stojanovski, Zafir, et al.
Published: (2025)

SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation
by: Yang, Wenjie, et al.
Published: (2025)

Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)

LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
by: Yang, Wenkai, et al.
Published: (2025)

SPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning
by: Rahman, Salman, et al.
Published: (2025)

Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable Rewards
by: Wang, Zhen, et al.
Published: (2025)

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards
by: Sun, Zetian, et al.
Published: (2025)

HISR: Hindsight Information Modulated Segmental Process Rewards For Multi-turn Agentic Reinforcement Learning
by: Lu, Zhicong, et al.
Published: (2026)

Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
by: Rad, Ali, et al.
Published: (2026)

Off-Policy Corrected Reward Modeling for Reinforcement Learning from Human Feedback
by: Ackermann, Johannes, et al.
Published: (2025)

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
by: Zhang, Shun, et al.
Published: (2024)

Process Rewards with Learned Reliability
by: Li, Jinyuan, et al.
Published: (2026)

Reward Is Enough: LLMs Are In-Context Reinforcement Learners
by: Song, Kefan, et al.
Published: (2025)

Preference Poisoning Attacks on Reward Model Learning
by: Wu, Junlin, et al.
Published: (2024)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)

Reward Shaping to Mitigate Reward Hacking in RLHF
by: Fu, Jiayi, et al.
Published: (2025)

A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning
by: Wachi, Akifumi, et al.
Published: (2026)

Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning
by: Fei, Wu, et al.
Published: (2025)

Response-Level Rewards Are All You Need for Online Reinforcement Learning in LLMs: A Mathematical Perspective
by: He, Shenghua, et al.
Published: (2025)

Text Diffusion with Reinforced Conditioning
by: Liu, Yuxuan, et al.
Published: (2024)

AGR: Age Group fairness Reward for Bias Mitigation in LLMs
by: Cao, Shuirong, et al.
Published: (2024)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
by: Lai, Song, et al.
Published: (2025)

Learning to Hint for Reinforcement Learning
by: Xia, Yu, et al.
Published: (2026)

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization
by: Wang, Haozhe, et al.
Published: (2025)