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Adaptive Discretization for Model-Based Reinforcement Learning

Adaptive Discretization for Model-Based Reinforcement Learning

1 July 2020
Sean R. Sinclair
Tianyu Wang
Gauri Jain
Siddhartha Banerjee
Chao Yu
    OffRL
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Papers citing "Adaptive Discretization for Model-Based Reinforcement Learning"

6 / 6 papers shown
Title
No-Regret Reinforcement Learning in Smooth MDPs
No-Regret Reinforcement Learning in Smooth MDPs
Davide Maran
Alberto Maria Metelli
Matteo Papini
Marcello Restell
36
5
0
06 Feb 2024
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality
  via Quantization under Weak Continuity
Q-Learning for MDPs with General Spaces: Convergence and Near Optimality via Quantization under Weak Continuity
A. D. Kara
Naci Saldi
S. Yüksel
38
26
0
12 Nov 2021
Adaptive Discretization in Online Reinforcement Learning
Adaptive Discretization in Online Reinforcement Learning
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
OffRL
40
15
0
29 Oct 2021
Coarse-Grained Smoothness for RL in Metric Spaces
Coarse-Grained Smoothness for RL in Metric Spaces
Giorgio Giannone
Kavosh Asadi
Cameron Allen
Sam Lobel
George Konidaris
Michael Littman
40
3
0
23 Oct 2021
UCB Momentum Q-learning: Correcting the bias without forgetting
UCB Momentum Q-learning: Correcting the bias without forgetting
Pierre Menard
O. D. Domingues
Xuedong Shang
Michal Valko
79
40
0
01 Mar 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
135
135
0
09 Dec 2019
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