Cover Image

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghoreishee, Aref, Mishra, Abhishek, Zhou, Lifeng, Walsh, John, Das, Anup, Kandasamy, Nagarajan
Format:	Preprint
Published:	2026
Subjects:	Neural and Evolutionary Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons
by: Ghoreishee, Aref, et al.
Published: (2025)

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
by: Mishra, Abhishek, et al.
Published: (2024)

New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles
by: Ghoreishee, Aref, et al.
Published: (2025)

Mapping and Scheduling Spiking Neural Networks On Segmented Ladder Bus Architectures
by: Huynh, Phu Khanh, et al.
Published: (2025)

Supervised Spike Agreement Dependent Plasticity for Fast Local Learning in Spiking Neural Networks
by: S, Gouri Lakshmi, et al.
Published: (2026)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)

Deep Reinforcement Learning with Spiking Q-learning
by: Chen, Ding, et al.
Published: (2022)

SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention
by: Sun, Yundong, et al.
Published: (2024)

Spike Agreement Dependent Plasticity: A scalable Bio-Inspired learning paradigm for Spiking Neural Networks
by: Bej, Saptarshi, et al.
Published: (2025)

Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)

EchoSpike Predictive Plasticity: An Online Local Learning Rule for Spiking Neural Networks
by: Graf, Lars, et al.
Published: (2024)

Maximizing Information in Neuron Populations for Neuromorphic Spike Encoding
by: Ferdaoussi, Ahmad El, et al.
Published: (2024)

Spiking Neural Network Phase Encoding for Cognitive Computing
by: Zhang, Lei
Published: (2024)

Stable Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders
by: Neuman, A. Martina, et al.
Published: (2024)

Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
by: Yao, Yunpeng, et al.
Published: (2024)

Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
by: Pedersen, Jens Egholm, et al.
Published: (2026)

Learning Long Sequences in Spiking Neural Networks
by: Stan, Matei Ioan, et al.
Published: (2023)

Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding
by: Katende, Ronald
Published: (2024)

Autonomous Driving with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2024)

Gradient-Based Neuroplastic Adaptation for Concurrent Optimization of Neuro-Fuzzy Networks
by: Hostetter, John Wesley, et al.
Published: (2025)

Scenario-Aware Control of Segmented Ladder Bus: Design and FPGA Implementation
by: Huynh, Phu Khanh, et al.
Published: (2025)

Meta-Black-Box-Optimization through Offline Q-function Learning
by: Ma, Zeyuan, et al.
Published: (2025)

Effects of Introducing Synaptic Scaling on Spiking Neural Network Learning
by: Touda, Shinnosuke, et al.
Published: (2026)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
by: Murad, Taslim, et al.
Published: (2024)

Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time
by: Nguyen, Duc Anh, et al.
Published: (2025)

Learning Internal Biological Neuron Parameters and Complexity-Based Encoding for Improved Spiking Neural Networks Performance
by: Rudnicka, Zofia, et al.
Published: (2025)

Sparse Spike Encoding of Channel Responses for Energy Efficient Human Activity Recognition
by: Cicciarella, Eleonora, et al.
Published: (2026)

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
by: Chen, Jiechen, et al.
Published: (2025)

Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks
by: Shi, Lianfeng, et al.
Published: (2025)

Unsupervised Sparse Coding-based Spiking Neural Network for Real-time Spike Sorting
by: Melot, Alexis, et al.
Published: (2025)

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
by: Suetake, Kazuma, et al.
Published: (2023)

SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network
by: Wang, Kexin, et al.
Published: (2024)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach
by: Tanveer, M., et al.
Published: (2024)

S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks
by: Apolinario, Marco Paul E., et al.
Published: (2023)

Contrastive-Signal-Dependent Plasticity: Self-Supervised Learning in Spiking Neural Circuits
by: Ororbia, Alexander
Published: (2023)

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples
by: Renau, Quentin, et al.
Published: (2024)

Improving Low-Latency Learning Performance in Spiking Neural Networks via a Change-Perceptive Dendrite-Soma-Axon Neuron
by: Huang, Zeyu, et al.
Published: (2025)

Sleep-Based Homeostatic Regularization for Stabilizing Spike-Timing-Dependent Plasticity in Recurrent Spiking Neural Networks
by: Massey, Andreas, et al.
Published: (2026)

STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
by: Hens, Freek, et al.
Published: (2024)

Traces Propagation: Memory-Efficient and Scalable Forward-Only Learning in Spiking Neural Networks
by: Pes, Lorenzo, et al.
Published: (2025)