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Deep Reinforcement Learning with Weighted Q-Learning

Deep Reinforcement Learning with Weighted Q-Learning

20 March 2020
Andrea Cini
Carlo DÉramo
Jan Peters
Cesare Alippi
    OffRL
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning with Weighted Q-Learning"

5 / 5 papers shown
Title
Factors of Influence of the Overestimation Bias of Q-Learning
Factors of Influence of the Overestimation Bias of Q-Learning
Julius Wagenbach
M. Sabatelli
20
1
0
11 Oct 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw
3DV
AI4TS
28
1
0
16 Aug 2022
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka
Tim Welschehold
Joschka Boedecker
Wolfram Burgard
OffRL
35
9
0
24 Nov 2021
Balanced Q-learning: Combining the Influence of Optimistic and
  Pessimistic Targets
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets
Thommen George Karimpanal
Hung Le
Majid Abdolshah
Santu Rana
Sunil R. Gupta
T. Tran
Svetha Venkatesh
25
5
0
03 Nov 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,167
0
06 Jun 2015
1