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HyperPPO: A scalable method for finding small policies for robotic
  control

HyperPPO: A scalable method for finding small policies for robotic control

28 September 2023
Luming Tang
Zhehui Huang
Gaurav Sukhatme
ArXivPDFHTML

Papers citing "HyperPPO: A scalable method for finding small policies for robotic control"

4 / 4 papers shown
Title
Proximal Policy Gradient Arborescence for Quality Diversity
  Reinforcement Learning
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Sumeet Batra
Bryon Tjanaka
Matthew C. Fontaine
Aleksei Petrenko
Stefanos Nikolaidis
Gaurav Sukhatme
OffRL
53
12
0
23 May 2023
Efficiently Learning Small Policies for Locomotion and Manipulation
Efficiently Learning Small Policies for Locomotion and Manipulation
Shashank Hegde
Gaurav Sukhatme
27
3
0
30 Sep 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
115
546
0
24 Sep 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
1