Cover Image

Stabilizing Long-term Multi-turn Reinforcement Learning with Gated Rewards

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sun, Zetian, Li, Dongfang, Chen, Zhuoen, Qin, Yuhuai, Hu, Baotian
Format:	Preprint
Published:	2025
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

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
by: Chen, Zhuoen, et al.
Published: (2026)

Improving Value-based Process Verifier via Structural Prior Injection
by: Sun, Zetian, et al.
Published: (2025)

LycheeCluster: Efficient Long-Context Inference with Structure-Aware Chunking and Hierarchical KV Indexing
by: Li, Dongfang, et al.
Published: (2026)

LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
by: Lin, Gang, et al.
Published: (2026)

Improving Value-based Process Verifier via Low-Cost Variance Reduction
by: Sun, Zetian, et al.
Published: (2025)

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
by: Li, Dongfang, et al.
Published: (2024)

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

Is On-Policy Data always the Best Choice for Direct Preference Optimization-based LM Alignment?
by: Sun, Zetian, et al.
Published: (2025)

In-Context Learning State Vector with Inner and Momentum Optimization
by: Li, Dongfang, et al.
Published: (2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)

A Practitioner's Guide to Multi-turn Agentic Reinforcement Learning
by: Wang, Ruiyi, et al.
Published: (2025)

Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards
by: Li, Ming, et al.
Published: (2025)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
by: Liu, Liangxin, et al.
Published: (2024)

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
by: Chen, Maximillian, et al.
Published: (2024)

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

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

Reinforcement Learning with Conditional Expectation Reward
by: Xiao, Changyi, et al.
Published: (2026)

Process Reinforcement through Implicit Rewards
by: Cui, Ganqu, 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)

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

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
by: Wu, Yuhao, et al.
Published: (2025)

Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
by: Zheng, Chujie, et al.
Published: (2025)

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
by: Lu, Miao, et al.
Published: (2025)

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

Securing Multi-turn Conversational Language Models From Distributed Backdoor Triggers
by: Tong, Terry, et al.
Published: (2024)

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

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

Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
by: Gao, Zhaolin, et al.
Published: (2024)

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

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

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents
by: Yang, Rui, et al.
Published: (2026)

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)

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
by: Cheng, Gang, 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)

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents
by: Wang, Hao, et al.
Published: (2026)

TourPlanner: A Competitive Consensus Framework with Constraint-Gated Reinforcement Learning for Travel Planning
by: Wang, Yinuo, et al.
Published: (2026)