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Regret Bounds for Stochastic Shortest Path Problems with Linear Function
  Approximation

Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation

4 May 2021
Daniel Vial
Advait Parulekar
Sanjay Shakkottai
R. Srikant
ArXivPDFHTML

Papers citing "Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation"

4 / 4 papers shown
Title
Multi-Agent Congestion Cost Minimization With Linear Function
  Approximations
Multi-Agent Congestion Cost Minimization With Linear Function Approximations
Prashant Trivedi
N. Hemachandra
22
0
0
26 Jan 2023
Learning Stochastic Shortest Path with Linear Function Approximation
Learning Stochastic Shortest Path with Linear Function Approximation
Steffen Czolbe
Jiafan He
Adrian V. Dalca
Quanquan Gu
22
30
0
25 Oct 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
107
166
0
06 Jan 2021
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
127
135
0
09 Dec 2019
1