Wenxin Li

A self-reinforcing instability trap in Deep Q-learning can be effectively mitigated through controlled bootstrapping and ensemble quantile estimation, leading to more stable training outcomes.

Agent deception in autonomous systems is not just a theoretical concern; it’s a pressing reality that can undermine trust in AI applications.