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cs.LG2026
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…
cs.LG2025
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
Zhicheng Zhang, Ziyan Wang, Yali Du +1
Developing effective instruction-following policies in reinforcement learning remains challenging due to the reliance on extensive human-labeled instruction datasets and the diffic…