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. 2010.05769
  4. Cited By
Parameterized Reinforcement Learning for Optical System Optimization

Parameterized Reinforcement Learning for Optical System Optimization

9 October 2020
H. Wankerl
M. L. Stern
Ali Mahdavi
C. Eichler
E. Lang
ArXivPDFHTML

Papers citing "Parameterized Reinforcement Learning for Optical System Optimization"

3 / 3 papers shown
Title
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann
Viktoria-S. Schmiesing
Dennis Wilken
Jan Heine
Aaron Tranter
Avishek Anand
Tobias J. Osborne
M. Heurs
50
2
0
24 May 2024
Parametrized Deep Q-Networks Learning: Reinforcement Learning with
  Discrete-Continuous Hybrid Action Space
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space
Jiechao Xiong
Qing Wang
Zhuoran Yang
Peng Sun
Lei Han
Yang Zheng
Haobo Fu
Tong Zhang
Ji Liu
Han Liu
37
170
0
10 Oct 2018
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
157
3,777
0
18 Nov 2015
1