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Convex Programs and Lyapunov Functions for Reinforcement Learning: A
  Unified Perspective on the Analysis of Value-Based Methods

Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods

14 February 2022
Xing-ming Guo
Bin Hu
    OffRL
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Papers citing "Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods"

2 / 2 papers shown
Title
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
Han-Dong Lim
Donghwan Lee
18
0
0
15 Apr 2025
Exact Formulas for Finite-Time Estimation Errors of Decentralized
  Temporal Difference Learning with Linear Function Approximation
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation
Xing-ming Guo
Bin Hu
11
2
0
20 Apr 2022
1