2 papers
cs.NE2026
Spiking Neural Network Predicting Sequence of the External Worlds States in Model-Based Reinforcement Learning
Mikhail Kiselev
This paper presents a spiking neural network (SNN) designed to predict the sequence of the external world states starting from the current world state. This SNN does not create the…
cs.NE2023
From "What" to "When" -- a Spiking Neural Network Predicting Rare Events and Time to their Occurrence
Mikhail Kiselev
In the reinforcement learning (RL) tasks, the ability to predict receiving reward in the near or more distant future means the ability to evaluate the current state as more or less…