Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning

19 March 2023

Papers citing "Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning"

11 / 11 papers shown

Title
Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing Geethu Joseph Chen Zhong M. C. Gursoy Senem Velipasalar P. Varshney 44 4 0 08 Dec 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 63 108 0 11 Oct 2021
Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications Nour Moustafa Marwa Keshk Essam Soliman Debie Helge Janicke 55 71 0 04 Oct 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 499 42,449 0 03 Dec 2019
Deep Actor-Critic Reinforcement Learning for Anomaly Detection Chen Zhong M. C. Gursoy Senem Velipasalar 37 34 0 28 Aug 2019
Policy Design for Active Sequential Hypothesis Testing using Deep Learning D. Kartik Ekraam Sabir U. Mitra Premkumar Natarajan 40 18 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 108 1,679 0 23 Jul 2015
Gated Feedback Recurrent Neural Networks Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 72 829 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Active sequential hypothesis testing Mohammad Naghshvar T. Javidi 97 234 0 20 Mar 2012