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Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study
  of the DQN Target

Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target

22 January 2019
J. F. Hernandez-Garcia
R. Sutton
ArXivPDFHTML

Papers citing "Understanding Multi-Step Deep Reinforcement Learning: A Systematic Study of the DQN Target"

4 / 4 papers shown
Title
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep
  Reinforcement Learning
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
Weiwei Gu
Senquan Wang
38
5
0
12 Mar 2024
Long N-step Surrogate Stage Reward to Reduce Variances of Deep
  Reinforcement Learning in Complex Problems
Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems
Junmin Zhong
Ruofan Wu
J. Si
LRM
13
0
0
10 Oct 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels
Edoardo Cetin
Philip J. Ball
Steve Roberts
Oya Celiktutan
30
36
0
03 Jul 2022
Adaptive Trade-Offs in Off-Policy Learning
Adaptive Trade-Offs in Off-Policy Learning
Mark Rowland
Will Dabney
Rémi Munos
OffRL
9
22
0
16 Oct 2019
1