1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
cs.NE2023★ 1 cited
A Spiking Binary Neuron -- Detector of Causal Links
Mikhail Kiselev, Denis Larionov, Andrey Urusov
Causal relationship recognition is a fundamental operation in neural networks aimed at learning behavior, action planning, and inferring external world dynamics. This operation is…
cs.LG2022
Neural Network Optimization for Reinforcement Learning Tasks Using Sparse Computations
Dmitry Ivanov, Mikhail Kiselev, Denis Larionov
This article proposes a sparse computation-based method for optimizing neural networks for reinforcement learning (RL) tasks. This method combines two ideas: neural network pruning…