Parameterized Reinforcement Learning for Optical System Optimization

9 October 2020

Papers citing "Parameterized Reinforcement Learning for Optical System Optimization"

6 / 6 papers shown

Title
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 55 2 0 24 May 2024
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 42 170 0 10 Oct 2018
A Generative Model for Inverse Design of Metamaterials Zhaocheng Liu Dayu Zhu S. Rodrigues Kyu-Tae Lee W. Cai 36 521 0 25 May 2018
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 164 3,777 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 73 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 97 13,174 0 09 Sep 2015