Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Impact of Noise on Learned Value Functions at Depth in CoAgent Networks for Neural Network Credit Assignment

Record type:

paperposter

Impact of Noise on Learned Value Functions at Depth in CoAgent Networks for Neural Network Credit Assignment

Poster presented at the Deep Learning Indaba 2022 by Christopher Fourie

Tags

deep learning indabaposterdlideep learning indaba 2022

Similar

Performance Evaluation of Broadband Stations in Nigeria Based on Noise Analysis, Signal-to-Noise Ratio and Receiver Functions: Case Study of NASRDA’S Monitoring NetworkMobile Network Coverage Determination at 900MHz for Abuja Rural Areas using Artificial Neural NetworksArtificial Neural Networks with various Transfer Functions for Modeling Rainfall Patterns in Sokoto, NigeriaNeural Network Models for Traffic Estimation in Mobile Networks in Lagos, NigeriaImpact of Hyperparameter Tuning on Hybridised Convolutional Neural Networks for Pathloss Modelling in Mobile Communication SystemsDeterminants of Residential Property Value in Nigeria – A Neural Network Approach

Performance Evaluation of Broadband Stations in Nigeria Based on Noise Analysis, Signal-to-Noise Ratio and Receiver Functions: Case Study of NASRDA’S Monitoring Network

International audience Nigeria is not located in regions with frequent incidences of

Mobile Network Coverage Determination at 900MHz for Abuja Rural Areas using Artificial Neural Networks

This study proposes Artificial Neural Network ANN based field strength prediction models for the rur

Artificial Neural Networks with various Transfer Functions for Modeling Rainfall Patterns in Sokoto, Nigeria

Accurate rainfall prediction is crucial for agricultural practices and water resource management  in

Neural Network Models for Traffic Estimation in Mobile Networks in Lagos, Nigeria

The network providers are now being challenged with their inability to accurate estimate and charact

Impact of Hyperparameter Tuning on Hybridised Convolutional Neural Networks for Pathloss Modelling in Mobile Communication Systems

The performance of machine learning models, particularly Convolutional Neural Network

Determinants of Residential Property Value in Nigeria – A Neural Network Approach