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On the Sample Complexity and Metastability of Heavy-tailed Policy Search
  in Continuous Control

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control

15 June 2021
Amrit Singh Bedi
Anjaly Parayil
Junyu Zhang
Mengdi Wang
Alec Koppel
ArXivPDFHTML

Papers citing "On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control"

5 / 5 papers shown
Title
q-exponential family for policy optimization
q-exponential family for policy optimization
Lingwei Zhu
Haseeb Shah
Han Wang
Yukie Nagai
Martha White
OffRL
73
0
0
14 Aug 2024
Policy Gradient Algorithms Implicitly Optimize by Continuation
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland
Gilles Louppe
D. Ernst
29
3
0
11 May 2023
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
98
78
0
14 Feb 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence,
  New Sampling Complexity, and Generalized Problem Classes
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
87
136
0
30 Jan 2021
Approximation Benefits of Policy Gradient Methods with Aggregated States
Approximation Benefits of Policy Gradient Methods with Aggregated States
Daniel Russo
35
7
0
22 Jul 2020
1