Author

Zhenyu Pan

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Review Jul 2026

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Robotic learning takes place in dynamic environments with large behavior spaces. A terminal success signal only tells the robot whether the task is completed. It does not explain whether the current behavior is making progress, remaining unchanged, or undoing earlier progress. For this reason, recent studies have incre...

Jianshu Zhang, Keliang Wu, Haoran Lu et al. · arXiv.org · 1 citation

#artificial intelligence Jun 2026

LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents

LLMZero, an agentic system that optimizes training trajectories via tree search by diagnosing pathologies at each checkpoint and proposing coordinated multi-parameter transitions, discovers strategies that improve over the base model and over grid search and over grid search, consistently outperforming random search an...

Haoyang Fang, Wei Zhu, Boran Han et al. · arXiv.org · 2 citations