VAM: Verbalized Action Masking for Controllable Exploration in RL Post-Training -- A Chess Case Study

Zhicheng Zhang, Ziyan Wang, Yali Du +1

Exploration remains a key bottleneck for reinforcement learning (RL) post-training of large language models (LLMs), where sparse feedback and large action spaces can lead to premat…