Cover Image

Bellman Memory Units: A neuromorphic framework for synaptic reinforcement learning with an evolving network topology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Banerjee, Shreyan, Rounak, Aasifa, Pakrashi, Vikram
Format:	Preprint
Published:	2025
Subjects:	Systems and Control Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Spiking Neurons for Linear Quadratic Regulator Control of Multi-linked Pole on a Cart: from Single Neuron to Ensemble
by: Banerjee, Shreyan, et al.
Published: (2025)

Simulation-based optimization of a production system topology -- a neural network-assisted genetic algorithm
by: Paape, N., et al.
Published: (2024)

Polariton lattices as binarized neuromorphic networks
by: Sedov, Evgeny, et al.
Published: (2024)

A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control
by: Yang, Yi, et al.
Published: (2025)

Genesis: A Spiking Neuromorphic Accelerator With On-chip Continual Learning
by: Karia, Vedant, et al.
Published: (2025)

A Pipelined Memristive Neural Network Analog-to-Digital Converter
by: Danial, Loai, et al.
Published: (2024)

A Digital Pheromone-Based Approach for In-Control/Out-of-Control Classification
by: Pestana, Pedro, et al.
Published: (2025)

Advanced Intelligent Optimization Algorithms for Multi-Objective Optimal Power Flow in Future Power Systems: A Review
by: Li, Yuyan
Published: (2024)

A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles
by: Liu, Feige, et al.
Published: (2024)

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
by: Garg, Nikhil, et al.
Published: (2025)

Case Studies of Generative Machine Learning Models for Dynamical Systems
by: Bapat, Nachiket U., et al.
Published: (2025)

Causal-Guided Dimension Reduction for Efficient Pareto Optimization
by: Jayasuriya, Dinithi, et al.
Published: (2025)

Adaptive Multi-Objective Bayesian Optimization for Capacity Planning of Hybrid Heat Sources in Electric-Heat Coupling Systems of Cold Regions
by: Yang, Ruizhe, et al.
Published: (2025)

Design and Implementation of Hardware Accelerators for Neural Processing Applications
by: Mayannavar, Shilpa, et al.
Published: (2024)

Compact Pixelated Microstrip Forward Broadside Coupler Using Binary Particle Swarm Optimization
by: Parsaei, Kourosh, et al.
Published: (2024)

Noise-Aware Bayesian Optimization Approach for Capacity Planning of the Distributed Energy Resources in an Active Distribution Network
by: Yang, Ruizhe, et al.
Published: (2024)

Machine Learning Driven Global Optimisation Framework for Analog Circuit Design
by: Rashid, Ria, et al.
Published: (2024)

Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages
by: Liu, Feige, et al.
Published: (2024)

Design and Mathematical Modelling of Inter Spike Interval of Temporal Neuromorphic Encoder for Image Recognition
by: VS, Aadhitiya, et al.
Published: (2022)

Circuit-centric Genetic Algorithm (CGA) for Analog and Radio-Frequency Circuit Optimization
by: Kwon, Mingi, et al.
Published: (2023)

In the realm of hybrid Brain: Human Brain and AI
by: Fares, Hoda, et al.
Published: (2022)

An Efficient General-Purpose Optical Accelerator for Neural Networks
by: Fei, Sijie, et al.
Published: (2024)

Learning the optimal state-feedback via supervised imitation learning
by: Tailor, Dharmesh, et al.
Published: (2019)

Real-world validation of safe reinforcement learning, model predictive control and decision tree-based home energy management systems
by: Ruddick, Julian, et al.
Published: (2024)

Adaptive Synaptogenesis Implemented on a Nanomagnetic Platform
by: Mullick, Faiyaz Elahi, et al.
Published: (2025)

Exact and Evolutionary Algorithms for Sequential Multi-Objective Transmission Topology Planning
by: Groeneveld, Job, et al.
Published: (2026)

Theory of coupled neuronal-synaptic dynamics
by: Clark, David G., et al.
Published: (2023)

Spiking Neural Networks as a Controller for Emergent Swarm Agents
by: Zhu, Kevin, et al.
Published: (2024)

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways
by: Sun, Pengfei, et al.
Published: (2025)

Optimization of sliding control parameters for a 3-dof robot arm using genetic algorithm (GA)
by: Son, Vu Ngoc, et al.
Published: (2025)

Control of a commercially available vehicle by a tetraplegic human using a brain-computer interface
by: Zou, Xinyun, et al.
Published: (2025)

Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems
by: Serry, Mohamed, et al.
Published: (2026)

ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware
by: Quintana, Fernando M., et al.
Published: (2023)

Emulating insect brains for neuromorphic navigation
by: Schreiber, Korbinian, et al.
Published: (2023)

Quantum memristors for neuromorphic quantum machine learning
by: Lamata, Lucas
Published: (2024)

SCAR: State-Space Compression for Scalable AI-Based Network Management of Vehicular Services
by: Comsa, Ioan-Sorin, et al.
Published: (2025)

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

Laser Fault Injection in Memristor-Based Accelerators for AI/ML and Neuromorphic Computing
by: Rahman, Muhammad Faheemur, et al.
Published: (2025)

Federated Neuroevolution O-RAN: Enhancing the Robustness of Deep Reinforcement Learning xApps
by: Kouchaki, Mohammadreza, et al.
Published: (2025)

Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB
by: Dey, Saikat, et al.
Published: (2025)