2026
Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning
ICML 2026spotlight
The family of linear recurrent neural networks has shown strong performance as recurrent memory units in partially observable reinforcement learning. We provide a theoretical justification for their empirical effectiveness by constructing and studying two linear filters: (i) the first exactly reprod…