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Optimal Matrix Momentum Stochastic Approximation and Applications to
  Q-learning

Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning

17 September 2018
Adithya M. Devraj
Ana Bušić
Sean P. Meyn
ArXivPDFHTML

Papers citing "Optimal Matrix Momentum Stochastic Approximation and Applications to Q-learning"

2 / 2 papers shown
Title
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous
  Q-Learning and TD-Learning Variants
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
Zaiwei Chen
S. T. Maguluri
Sanjay Shakkottai
Karthikeyan Shanmugam
OffRL
89
53
0
02 Feb 2021
Momentum and Stochastic Momentum for Stochastic Gradient, Newton,
  Proximal Point and Subspace Descent Methods
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods
Nicolas Loizou
Peter Richtárik
19
200
0
27 Dec 2017
1