ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
Fuente:
arXiv
Guardado en:
| Autores principales: | Hou, Hongru, Mei, Tiehua, Geng, Denghui, Huang, Jinhui, Xu, Ao, Chen, Hengrui, Liang, Jiaqing, Yang, Deqing |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
por: Mei, Tiehua, et al.
Publicado: (2025)
por: Mei, Tiehua, et al.
Publicado: (2025)
Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
por: Mei, Tiehua, et al.
Publicado: (2026)
por: Mei, Tiehua, et al.
Publicado: (2026)
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
por: Liu, Mingjie, et al.
Publicado: (2025)
por: Liu, Mingjie, et al.
Publicado: (2025)
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
por: Zhang, Hao, et al.
Publicado: (2026)
por: Zhang, Hao, et al.
Publicado: (2026)
Heterogeneous Influence Maximization in User Recommendation
por: Hou, Hongru, et al.
Publicado: (2025)
por: Hou, Hongru, et al.
Publicado: (2025)
What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
por: Zhang, Bowei, et al.
Publicado: (2025)
por: Zhang, Bowei, et al.
Publicado: (2025)
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction
por: Ding, Zepeng, et al.
Publicado: (2024)
por: Ding, Zepeng, et al.
Publicado: (2024)
GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment
por: Lv, Minxuan, et al.
Publicado: (2026)
por: Lv, Minxuan, et al.
Publicado: (2026)
Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
por: Ding, Zepeng, et al.
Publicado: (2024)
por: Ding, Zepeng, et al.
Publicado: (2024)
RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving
por: Ding, Zepeng, et al.
Publicado: (2025)
por: Ding, Zepeng, et al.
Publicado: (2025)
ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
por: Huang, Yizheng, et al.
Publicado: (2026)
por: Huang, Yizheng, et al.
Publicado: (2026)
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
por: Ding, Hongxin, et al.
Publicado: (2025)
por: Ding, Hongxin, et al.
Publicado: (2025)
From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
por: Xu, Ke, et al.
Publicado: (2026)
por: Xu, Ke, et al.
Publicado: (2026)
LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
por: Qiu, Ruiyu, et al.
Publicado: (2025)
por: Qiu, Ruiyu, et al.
Publicado: (2025)
Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization
por: Peng, Xiyue, et al.
Publicado: (2024)
por: Peng, Xiyue, et al.
Publicado: (2024)
VDE: Training-Free Accelerating Rectified Flow Model via Velocity Decomposition and Estimation
por: Tan, Junwen, et al.
Publicado: (2026)
por: Tan, Junwen, et al.
Publicado: (2026)
Partial Policy Gradients for RL in LLMs
por: Mathur, Puneet, et al.
Publicado: (2026)
por: Mathur, Puneet, et al.
Publicado: (2026)
ProMRVL-CAD: Proactive Dialogue System with Multi-Round Vision-Language Interactions for Computer-Aided Diagnosis
por: Li, Xueshen, et al.
Publicado: (2025)
por: Li, Xueshen, et al.
Publicado: (2025)
ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents
por: Ding, Lei, et al.
Publicado: (2026)
por: Ding, Lei, et al.
Publicado: (2026)
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search
por: Hou, Zhenyu, et al.
Publicado: (2025)
por: Hou, Zhenyu, et al.
Publicado: (2025)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
por: Shen, Ye, et al.
Publicado: (2021)
por: Shen, Ye, et al.
Publicado: (2021)
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
por: Yang, Hongru, et al.
Publicado: (2024)
por: Yang, Hongru, et al.
Publicado: (2024)
StreamPro: From Reactive Perception to Proactive Decision-Making in Streaming Video
por: Li, Ao, et al.
Publicado: (2026)
por: Li, Ao, et al.
Publicado: (2026)
EDGE: Enhanced Grounded GUI Understanding with Enriched Multi-Granularity Synthetic Data
por: Chen, Xuetian, et al.
Publicado: (2024)
por: Chen, Xuetian, et al.
Publicado: (2024)
Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient
por: You, Haoxiang, et al.
Publicado: (2026)
por: You, Haoxiang, et al.
Publicado: (2026)
DaGRPO: Rectifying Gradient Conflict in Reasoning via Distinctiveness-Aware Group Relative Policy Optimization
por: Xie, Xuan, et al.
Publicado: (2025)
por: Xie, Xuan, et al.
Publicado: (2025)
Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
por: Jiang, Jinyang, et al.
Publicado: (2025)
por: Jiang, Jinyang, et al.
Publicado: (2025)
Policy Improvement Reinforcement Learning
por: Wang, Huaiyang, et al.
Publicado: (2026)
por: Wang, Huaiyang, et al.
Publicado: (2026)
Deep Research as Rubric for Reinforcement Learning
por: Mei, Wangyi, et al.
Publicado: (2026)
por: Mei, Wangyi, et al.
Publicado: (2026)
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality
por: Ma, Shaocong, et al.
Publicado: (2025)
por: Ma, Shaocong, et al.
Publicado: (2025)
IntentRL: Training Proactive User-intent Agents for Open-ended Deep Research via Reinforcement Learning
por: Luo, Haohao, et al.
Publicado: (2026)
por: Luo, Haohao, et al.
Publicado: (2026)
Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling
por: Zhou, Xubin, et al.
Publicado: (2026)
por: Zhou, Xubin, et al.
Publicado: (2026)
ProGuard: Towards Proactive Multimodal Safeguard
por: Yu, Shaohan, et al.
Publicado: (2025)
por: Yu, Shaohan, et al.
Publicado: (2025)
Dynamical Persistent Homology via Wasserstein Gradient Flow
por: Wang, Minghua, et al.
Publicado: (2024)
por: Wang, Minghua, et al.
Publicado: (2024)
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
por: Liu, Bingshuai, et al.
Publicado: (2025)
por: Liu, Bingshuai, et al.
Publicado: (2025)
A Historical Interaction-Enhanced Shapley Policy Gradient Algorithm for Multi-Agent Credit Assignment
por: Ding, Ao, et al.
Publicado: (2025)
por: Ding, Ao, et al.
Publicado: (2025)
FlowIE: Efficient Image Enhancement via Rectified Flow
por: Zhu, Yixuan, et al.
Publicado: (2024)
por: Zhu, Yixuan, et al.
Publicado: (2024)
ProMark: Proactive Diffusion Watermarking for Causal Attribution
por: Asnani, Vishal, et al.
Publicado: (2024)
por: Asnani, Vishal, et al.
Publicado: (2024)
ProCIS: A Benchmark for Proactive Retrieval in Conversations
por: Samarinas, Chris, et al.
Publicado: (2024)
por: Samarinas, Chris, et al.
Publicado: (2024)
Rectifying Regression in Reinforcement Learning
por: Ayoub, Alex, et al.
Publicado: (2025)
por: Ayoub, Alex, et al.
Publicado: (2025)
Ejemplares similares
-
GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems
por: Mei, Tiehua, et al.
Publicado: (2025) -
Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning
por: Mei, Tiehua, et al.
Publicado: (2026) -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
por: Liu, Mingjie, et al.
Publicado: (2025) -
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
por: Zhang, Hao, et al.
Publicado: (2026) -
Heterogeneous Influence Maximization in User Recommendation
por: Hou, Hongru, et al.
Publicado: (2025)