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. 1909.03204
  4. Cited By
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking
  Control of Autonomous Underwater Vehicles

Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles

7 September 2019
Wenjie Shi
Senior Member Ieee Shiji Song
Cheng Wu
F. I. C. L. Philip Chen
ArXivPDFHTML

Papers citing "Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles"

2 / 2 papers shown
Title
Practical Probabilistic Model-based Deep Reinforcement Learning by
  Integrating Dropout Uncertainty and Trajectory Sampling
Practical Probabilistic Model-based Deep Reinforcement Learning by Integrating Dropout Uncertainty and Trajectory Sampling
Wenjun Huang
Yunduan Cui
Huiyun Li
Xin Wu
MU
22
0
0
20 Sep 2023
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum
  Learning And Reinforcement Learning With Sparse Rewards
Maneuver Decision-Making For Autonomous Air Combat Through Curriculum Learning And Reinforcement Learning With Sparse Rewards
Yuxin Wei
Hong-Peng Zhang
Chang Huang
18
3
0
12 Feb 2023
1