ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.04859
  4. Cited By
Policy Design for Active Sequential Hypothesis Testing using Deep
  Learning

Policy Design for Active Sequential Hypothesis Testing using Deep Learning

11 October 2018
D. Kartik
Ekraam Sabir
U. Mitra
Premkumar Natarajan
ArXivPDFHTML

Papers citing "Policy Design for Active Sequential Hypothesis Testing using Deep Learning"

3 / 3 papers shown
Title
Active hypothesis testing in unknown environments using recurrent neural
  networks and model free reinforcement learning
Active hypothesis testing in unknown environments using recurrent neural networks and model free reinforcement learning
George Stamatelis
N. Kalouptsidis
16
2
0
19 Mar 2023
Smoother Entropy for Active State Trajectory Estimation and Obfuscation
  in POMDPs
Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs
Timothy L. Molloy
G. Nair
11
13
0
19 Aug 2021
Active Hypothesis Testing: Beyond Chernoff-Stein
Active Hypothesis Testing: Beyond Chernoff-Stein
D. Kartik
A. Nayyar
U. Mitra
16
11
0
21 Jan 2019
1