Verifiable Process Rewards for Agentic Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Huining, Xu, Zelai, Wang, Huaijie, Yi, Xiangmin, Gao, Jiaxuan, Zhang, Xiao-Ping, Wang, Yu, Yu, Chao, Wu, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments
by: Xu, Zelai, et al.
Published: (2025)
by: Xu, Zelai, et al.
Published: (2025)
MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs
by: Yuan, Huining, et al.
Published: (2025)
by: Yuan, Huining, et al.
Published: (2025)
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
by: Xu, Zelai, et al.
Published: (2025)
by: Xu, Zelai, et al.
Published: (2025)
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
by: Xu, Zelai, et al.
Published: (2025)
by: Xu, Zelai, et al.
Published: (2025)
MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
by: Yang, Lu, et al.
Published: (2026)
by: Yang, Lu, et al.
Published: (2026)
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
by: Xu, Zelai, et al.
Published: (2023)
by: Xu, Zelai, et al.
Published: (2023)
Extending Test-Time Scaling: A 3D Perspective with Context, Batch, and Turn
by: Yu, Chao, et al.
Published: (2025)
by: Yu, Chao, et al.
Published: (2025)
Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards
by: Guo, Kai-Yuan, et al.
Published: (2026)
by: Guo, Kai-Yuan, et al.
Published: (2026)
From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
by: Gao, Jiaxuan, et al.
Published: (2026)
by: Gao, Jiaxuan, et al.
Published: (2026)
On Designing Effective RL Reward at Training Time for LLM Reasoning
by: Gao, Jiaxuan, et al.
Published: (2024)
by: Gao, Jiaxuan, et al.
Published: (2024)
Controllable and Verifiable Process Data Synthesis for Process Reward Models
by: Chi, Yinghui, et al.
Published: (2026)
by: Chi, Yinghui, et al.
Published: (2026)
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
by: Yang, Ningyuan, et al.
Published: (2025)
by: Yang, Ningyuan, et al.
Published: (2025)
Promoting Efficient Reasoning with Verifiable Stepwise Reward
by: Yue, Chuhuai, et al.
Published: (2025)
by: Yue, Chuhuai, et al.
Published: (2025)
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models
by: Zhang, Xiangxiang, et al.
Published: (2025)
by: Zhang, Xiangxiang, et al.
Published: (2025)
Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024)
by: Wang, Huaijie, et al.
Published: (2024)
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
by: Peng, Hao, et al.
Published: (2025)
by: Peng, Hao, et al.
Published: (2025)
Mastering Multi-Drone Volleyball through Hierarchical Co-Self-Play Reinforcement Learning
by: Zhang, Ruize, et al.
Published: (2025)
by: Zhang, Ruize, et al.
Published: (2025)
Neural Internal Model Control: Learning a Robust Control Policy via Predictive Error Feedback
by: Gao, Feng, et al.
Published: (2024)
by: Gao, Feng, et al.
Published: (2024)
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)
AgentV-RL: Scaling Reward Modeling with Agentic Verifier
by: Zhang, Jiazheng, et al.
Published: (2026)
by: Zhang, Jiazheng, et al.
Published: (2026)
LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination
by: Liu, Jijia, et al.
Published: (2023)
by: Liu, Jijia, et al.
Published: (2023)
AED: Automatic Discovery of Effective and Diverse Vulnerabilities for Autonomous Driving Policy with Large Language Models
by: Qiu, Le, et al.
Published: (2025)
by: Qiu, Le, et al.
Published: (2025)
RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
by: Cao, Xiaoyang, et al.
Published: (2025)
by: Cao, Xiaoyang, et al.
Published: (2025)
Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
by: Pronesti, Massimiliano, et al.
Published: (2026)
by: Pronesti, Massimiliano, et al.
Published: (2026)
Optimizing Agentic Reasoning with Retrieval via Synthetic Semantic Information Gain Reward
by: Hu, Senkang, et al.
Published: (2026)
by: Hu, Senkang, 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)
ICPL: Few-shot In-context Preference Learning via LLMs
by: Yu, Chao, et al.
Published: (2024)
by: Yu, Chao, et al.
Published: (2024)
GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning
by: Wang, Jingyi, et al.
Published: (2026)
by: Wang, Jingyi, et al.
Published: (2026)
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
by: Zhu, Jiachen, et al.
Published: (2025)
by: Zhu, Jiachen, et al.
Published: (2025)
Learning to Self-Verify Makes Language Models Better Reasoners
by: Chen, Yuxin, et al.
Published: (2026)
by: Chen, Yuxin, et al.
Published: (2026)
LAGOON: Language-Guided Motion Control
by: Xu, Shusheng, et al.
Published: (2023)
by: Xu, Shusheng, et al.
Published: (2023)
OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
by: Xu, Botian, et al.
Published: (2023)
by: Xu, Botian, et al.
Published: (2023)
GroundedPRM: Tree-Guided and Fidelity-Aware Process Reward Modeling for Step-Level Reasoning
by: Zhang, Yao, et al.
Published: (2025)
by: Zhang, Yao, et al.
Published: (2025)
Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward
by: Wen, Xuexiang, et al.
Published: (2026)
by: Wen, Xuexiang, et al.
Published: (2026)
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
by: Liu, Shudong, et al.
Published: (2025)
by: Liu, Shudong, et al.
Published: (2025)
Agentic Active Omni-Modal Perception for Multi-Hop Audio-Visual Reasoning
by: Xu, Ke, et al.
Published: (2026)
by: Xu, Ke, et al.
Published: (2026)
Trade-R1: Bridging Verifiable Rewards to Stochastic Environments via Process-Level Reasoning Verification
by: Sun, Rui, et al.
Published: (2026)
by: Sun, Rui, et al.
Published: (2026)
The Lessons of Developing Process Reward Models in Mathematical Reasoning
by: Zhang, Zhenru, et al.
Published: (2025)
by: Zhang, Zhenru, et al.
Published: (2025)
Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
by: Gao, Jiaxuan, et al.
Published: (2025)
by: Gao, Jiaxuan, 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)
Similar Items
-
VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments
by: Xu, Zelai, et al.
Published: (2025) -
MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs
by: Yuan, Huining, et al.
Published: (2025) -
VolleyBots: A Testbed for Multi-Drone Volleyball Game Combining Motion Control and Strategic Play
by: Xu, Zelai, et al.
Published: (2025) -
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
by: Xu, Zelai, et al.
Published: (2025) -
MAGE: Meta-Reinforcement Learning for Language Agents toward Strategic Exploration and Exploitation
by: Yang, Lu, et al.
Published: (2026)