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AI application published by beea. SDK: docker. Availability at last check: Running.
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IBM/exact-mapping-ReLUnetwork-SNN: An Exact Mapping From ReLU Networks to Spiking Neural Networks
This repository contains code material for the publication: Stanojevic, A., Woźniak, S., Bellec, G., Cherubini, G., Pantazi, A., & Gerstner, W. (2022). An Exact Mapping From ReLU Networks to Spiking Neural Networks. arXiv preprint arXiv:2212.12522. https://arxiv.org/abs/2212.12522 Deep spiking neural networks (SNNs) offer the promise of low-power artificial intelligence. However, training deep SNNs from scratch or converting deep artificial neural networks to SNNs without loss of performance has been a challenge. An exact mapping enables to convert a pretrained high-performance network with Rectified Linear Units (ReLUs) to an energy-efficien
IBM Open Source Bot
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Hierarchical Reinforcement Learning: Transfer of Learning from 1-person Task to 2-people Task
This project has been developed as the final project for the Reinforcement Learning course in the Master's in Artificial Intelligence at Universidad Carlos III de Madrid.The research explores the performance of Hierarchical Reinforcement Learning (HRL) in comparison to the traditional approach of reinforcement learning, specifically in the OpenAI Gym Taxi environment (Brockman et al. 2016). In this case, it is suggested that applying a hierarchical structure in the learning process can significantly improve the agent's effectiveness and efficiency in solving tasks. Through systematic experiments and comparative evaluations, we demonstrate tha
Cabrera Rodríguez, Daniel
Creative Commons Attribution 4.0 InternationalView resource
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