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Action Noise in Off-Policy Deep Reinforcement Learning: Impact on
  Exploration and Performance

Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance

8 June 2022
Jakob J. Hollenstein
Sayantan Auddy
Matteo Saveriano
Erwan Renaudo
J. Piater
ArXivPDFHTML

Papers citing "Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance"

4 / 4 papers shown
Title
Combating Spatial Disorientation in a Dynamic Self-Stabilization Task
  Using AI Assistants
Combating Spatial Disorientation in a Dynamic Self-Stabilization Task Using AI Assistants
Sheikh Mannan
Paige Hansen
Vivekanand Pandey Vimal
Hannah N. Davies
Paul DiZio
Nikhil Krishnaswamy
16
1
0
09 Sep 2024
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
25
1
0
24 May 2024
Colored Noise in PPO: Improved Exploration and Performance through
  Correlated Action Sampling
Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling
Jakob J. Hollenstein
Georg Martius
J. Piater
9
3
0
18 Dec 2023
d3rlpy: An Offline Deep Reinforcement Learning Library
d3rlpy: An Offline Deep Reinforcement Learning Library
Takuma Seno
M. Imai
OffRL
GP
55
97
0
06 Nov 2021
1