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Gradient Flows for Regularized Stochastic Control Problems

Gradient Flows for Regularized Stochastic Control Problems

10 June 2020
David Siska
Lukasz Szpruch
ArXivPDFHTML

Papers citing "Gradient Flows for Regularized Stochastic Control Problems"

5 / 5 papers shown
Title
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
Mo Zhou
Jian-Xiong Lu
30
7
0
11 Feb 2023
Linear convergence of a policy gradient method for some finite horizon
  continuous time control problems
Linear convergence of a policy gradient method for some finite horizon continuous time control problems
C. Reisinger
Wolfgang Stockinger
Yufei Zhang
16
5
0
22 Mar 2022
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural
  Network Approximation in the Mean-Field Regime
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
B. Kerimkulov
J. Leahy
David Siska
Lukasz Szpruch
22
11
0
18 Jan 2022
Reinforcement learning for linear-convex models with jumps via stability
  analysis of feedback controls
Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls
Xin Guo
Anran Hu
Yufei Zhang
17
24
0
19 Apr 2021
Robust pricing and hedging via neural SDEs
Robust pricing and hedging via neural SDEs
Patryk Gierjatowicz
Marc Sabate Vidales
David Siska
Lukasz Szpruch
Zan Zuric
14
34
0
08 Jul 2020
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