Shujaatali Badami

Optimizing Reinforcement Learning in Partially Observable Environments Using Compressed Suffix Memory Algorithm

2024

Reinforcement learning in partially observable environments poses challenges due to limited and noisy observations. Traditional approaches like the Utile Suffix Memory (USM) algorithm suffer from inefficiencies and potential overfitting. In this paper, I propose the …