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Learning Synthetic Environments for Reinforcement Learning with
  Evolution Strategies
v1v2v3 (latest)

Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies

24 January 2021
Fabio Ferreira
Thomas Nierhoff
Katharina Eggensperger
ArXiv (abs)PDFHTML

Papers citing "Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies"

3 / 3 papers shown
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and
  Stability
Evolving Pareto-Optimal Actor-Critic Algorithms for Generalizability and Stability
Juan Jose Garau-Luis
Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
266
0
0
08 Apr 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Automated Reinforcement Learning (AutoRL): A Survey and Open ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Katharina Eggensperger
Marius Lindauer
AI4CE
484
135
0
11 Jan 2022
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
296
98
0
28 Sep 2021
1
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