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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.MA2026
Evaluating Collective Behaviour of Hundreds of LLM Agents
Richard Willis, Jianing Zhao, Yali Du +1
LLM-powered AI assistants acting on behalf of users can produce poor collective outcomes at scale. We introduce a framework for evaluating their emergent behaviour in social dilemm…