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• Fine-Tuning Language Models with Reward Learning on Policy
  2024 · 4 citations
• Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning
  2026
• RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure
  2025
• STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning
  2026
• ESPO: Early-Stopping Proximal Policy Optimization
  2026
• Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions
  2026
• Understanding Generalization in Role-Playing Models via Information Theory
  2025
• CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
  2025
• RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
  2025
• A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
  2025
• Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
  2025
• TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence
  2025
• Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
  2024