3 papers
cs.NE2026
Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving
Aref Ghoreishee, Abhishek Mishra, Lifeng Zhou +3
This paper develops an end-to-end fuzzy encoder-decoder architecture for enhancing vision-based multi-modal deep spiking Q-networks in autonomous driving. The method addresses two…
cs.LG2025
New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles
Aref Ghoreishee, Abhishek Mishra, Lifeng Zhou +2
This work proposes an end-to-end multi-modal reinforcement learning framework for high-level decision-making in autonomous vehicles. The framework integrates heterogeneous sensory…
cs.LG2025
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons
Aref Ghoreishee, Abhishek Mishra, John Walsh +2
We propose a new ternary spiking neuron model to improve the representation capacity of binary spiking neurons in deep Q-learning. Although a ternary neuron model has recently been…