Learning to predict where to look in interactive environments using deep recurrent q-learning

17 December 2016

Papers citing "Learning to predict where to look in interactive environments using deep recurrent q-learning"

7 / 7 papers shown

Title
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning David Bertoin Adil Zouitine Mehdi Zouitine Emmanuel Rachelson 36 30 0 16 Sep 2022
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 28 18 0 16 Mar 2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks Sajad Mousavi Fatemeh Afghah U. Rajendra 22 94 0 12 Feb 2020
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations Alireza Shamsoshoara Fatemeh Afghah Abolfazl Razi Sajad Mousavi Jonathan D. Ashdown Kurt Turk 32 47 0 26 Nov 2019
A Solution for Dynamic Spectrum Management in Mission-Critical UAV Networks Alireza Shamsoshoara M. Khaledi Fatemeh Afghah Abolfazl Razi Jonathan D. Ashdown K. Turck 27 26 0 16 Apr 2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach Sajad Mousavi Fatemeh Afghah U. R. Acharya 29 377 0 05 Mar 2019
Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning Alireza Shamsoshoara M. Khaledi Fatemeh Afghah Abolfazl Razi Jonathan D. Ashdown 26 72 0 13 Nov 2018