The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Long, Zhou, Zhijian, Hao, Jiaran, Liu, Jason Klein, Miao, Yanting, Pang, Wei, Tan, Xiaoyu, Chu, Wei, Wang, Zhe, Pan, Shirui, Qu, Chao, Qi, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
by: Li, Long, et al.
Published: (2026)
by: Li, Long, et al.
Published: (2026)
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Adaptive Reinforcement for Open-ended Medical Reasoning via Semantic-Guided Reward Collapse Mitigation
by: Liu, Yizhou, et al.
Published: (2025)
by: Liu, Yizhou, et al.
Published: (2025)
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
by: Wen, Xumeng, et al.
Published: (2025)
by: Wen, Xumeng, et al.
Published: (2025)
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)
by: Cai, Xin-Qiang, et al.
Published: (2025)
Reward Hacking Mitigation using Verifiable Composite Rewards
by: Tarek, Mirza Farhan Bin, et al.
Published: (2025)
by: Tarek, Mirza Farhan Bin, et al.
Published: (2025)
Auditing Data Membership in Reinforcement Learning With Verifiable Rewards
by: Liu, Yule, et al.
Published: (2025)
by: Liu, Yule, et al.
Published: (2025)
Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
by: Lu, Xiaodong, et al.
Published: (2026)
by: Lu, Xiaodong, et al.
Published: (2026)
Differentiating Choices via Commonality for Multiple-Choice Question Answering
by: Deng, Wenqing, et al.
Published: (2024)
by: Deng, Wenqing, et al.
Published: (2024)
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
by: Wang, Haoyu, et al.
Published: (2024)
by: Wang, Haoyu, et al.
Published: (2024)
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
by: Zhang, Kaiyi, et al.
Published: (2026)
by: Zhang, Kaiyi, et al.
Published: (2026)
Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation
by: Li, Long, et al.
Published: (2026)
by: Li, Long, et al.
Published: (2026)
Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable Rewards
by: Zhang, Xin, et al.
Published: (2026)
by: Zhang, Xin, et al.
Published: (2026)
AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification
by: Tan, Xiaoyu, et al.
Published: (2025)
by: Tan, Xiaoyu, et al.
Published: (2025)
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains
by: Su, Yi, et al.
Published: (2025)
by: Su, Yi, et al.
Published: (2025)
Beyond the Dirac Delta: Mitigating Diversity Collapse in Reinforcement Fine-Tuning for Versatile Image Generation
by: Liu, Jinmei, et al.
Published: (2026)
by: Liu, Jinmei, et al.
Published: (2026)
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
by: Liu, Xiaoyuan, et al.
Published: (2025)
by: Liu, Xiaoyuan, et al.
Published: (2025)
When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards
by: Fan, Mingyuan, et al.
Published: (2026)
by: Fan, Mingyuan, et al.
Published: (2026)
Reward Collapse in Aligning Large Language Models
by: Song, Ziang, et al.
Published: (2023)
by: Song, Ziang, et al.
Published: (2023)
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
by: Wang, Li, et al.
Published: (2026)
by: Wang, Li, et al.
Published: (2026)
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
by: Tang, Xinyu, et al.
Published: (2025)
by: Tang, Xinyu, et al.
Published: (2025)
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)
by: Gunjal, Anisha, et al.
Published: (2025)
Asymmetric Prompt Weighting for Reinforcement Learning with Verifiable Rewards
by: Heckel, Reinhard, et al.
Published: (2026)
by: Heckel, Reinhard, et al.
Published: (2026)
Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
by: Zhu, Yuxuan, et al.
Published: (2026)
by: Zhu, Yuxuan, et al.
Published: (2026)
Reinforcing General Reasoning without Verifiers
by: Zhou, Xiangxin, et al.
Published: (2025)
by: Zhou, Xiangxin, et al.
Published: (2025)
From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation
by: Jiang, Yuxin, et al.
Published: (2026)
by: Jiang, Yuxin, et al.
Published: (2026)
Promoting Efficient Reasoning with Verifiable Stepwise Reward
by: Yue, Chuhuai, et al.
Published: (2025)
by: Yue, Chuhuai, et al.
Published: (2025)
ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning
by: Tang, Lingxiao, et al.
Published: (2026)
by: Tang, Lingxiao, et al.
Published: (2026)
Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation
by: Wang, Longwen, et al.
Published: (2026)
by: Wang, Longwen, et al.
Published: (2026)
Adaptive Rollout Allocation for Online Reinforcement Learning with Verifiable Rewards
by: Nguyen, Hieu Trung, et al.
Published: (2026)
by: Nguyen, Hieu Trung, et al.
Published: (2026)
Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards
by: Liu, Shuze Daniel, et al.
Published: (2026)
by: Liu, Shuze Daniel, et al.
Published: (2026)
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
by: Zeng, Guanning, et al.
Published: (2025)
by: Zeng, Guanning, et al.
Published: (2025)
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)
by: Tang, Xinyu, et al.
Published: (2025)
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
by: Guo, Xu, et al.
Published: (2025)
by: Guo, Xu, et al.
Published: (2025)
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
by: Wang, Peisong, et al.
Published: (2025)
by: Wang, Peisong, et al.
Published: (2025)
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
by: Stojanovski, Zafir, et al.
Published: (2025)
by: Stojanovski, Zafir, et al.
Published: (2025)
Reward Guidance for Reinforcement Learning Tasks Based on Large Language Models: The LMGT Framework
by: Deng, Yongxin, et al.
Published: (2024)
by: Deng, Yongxin, et al.
Published: (2024)
Verifiable Process Rewards for Agentic Reasoning
by: Yuan, Huining, et al.
Published: (2026)
by: Yuan, Huining, et al.
Published: (2026)
DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO
by: Liu, Henglin, et al.
Published: (2025)
by: Liu, Henglin, et al.
Published: (2025)
Similar Items
-
DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay
by: Li, Long, et al.
Published: (2026) -
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning
by: Zhang, Xuan, et al.
Published: (2025) -
Adaptive Reinforcement for Open-ended Medical Reasoning via Semantic-Guided Reward Collapse Mitigation
by: Liu, Yizhou, et al.
Published: (2025) -
Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
by: Wen, Xumeng, et al.
Published: (2025) -
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)