Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System
Ruining Zhang,
Haoran Han,
Maolong Lv
et al.
Abstract:Extensive utilization of deep reinforcement learning (DRL) policy networks in diverse continuous control tasks has raised questions regarding performance degradation in expansive state spaces where the input state norm is larger than that in the training environment. This paper aims to uncover the underlying factors contributing to such performance deterioration when dealing with expanded state spaces, using a novel analysis technique known as state division. In contrast to prior approaches that employ state d… Show more
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