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. 2405.08691
  4. Cited By
Enhancing Reinforcement Learning in Sensor Fusion: A Comparative
  Analysis of Cubature and Sampling-based Integration Methods for Rover Search
  Planning

Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning

14 May 2024
Jan‐Hendrik Ewers
S. Swinton
David Anderson
E. McGookin
Douglas G. Thomson
ArXivPDFHTML

Papers citing "Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-based Integration Methods for Rover Search Planning"

3 / 3 papers shown
Title
Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
Recurrent Auto-Encoders for Enhanced Deep Reinforcement Learning in Wilderness Search and Rescue Planning
Jan-Hendrik Ewers
David Anderson
Douglas G. Thomson
57
0
0
26 Feb 2025
Deep Reinforcement Learning for Time-Critical Wilderness Search And
  Rescue Using Drones
Deep Reinforcement Learning for Time-Critical Wilderness Search And Rescue Using Drones
Jan‐Hendrik Ewers
David Anderson
Douglas G. Thomson
40
4
0
21 May 2024
Exploring the Training Robustness of Distributional Reinforcement
  Learning against Noisy State Observations
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
50
17
0
17 Sep 2021
1