Variable-metric evolution strategies for direct policy search
Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Standard
Variable-metric evolution strategies for direct policy search. / Heidrich-Meisner, Verena; Igel, Christian.
2009. Abstract from Multidisciplinary Symposium on Reinforcement Learning, Montreal, Canada.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Harvard
Heidrich-Meisner, V & Igel, C 2009, 'Variable-metric evolution strategies for direct policy search', Multidisciplinary Symposium on Reinforcement Learning, Montreal, Canada, 18/06/2009 - 19/06/2009. <http://msrl09.rl-community.org/abstracts/Heidrich-Meisner.pdf?attredirects=0>
APA
Heidrich-Meisner, V., & Igel, C. (2009). Variable-metric evolution strategies for direct policy search. Abstract from Multidisciplinary Symposium on Reinforcement Learning, Montreal, Canada. http://msrl09.rl-community.org/abstracts/Heidrich-Meisner.pdf?attredirects=0
Vancouver
Heidrich-Meisner V, Igel C. Variable-metric evolution strategies for direct policy search. 2009. Abstract from Multidisciplinary Symposium on Reinforcement Learning, Montreal, Canada.
Author
Bibtex
@conference{b508d624a5da436997cbb6b3e4ee4bf2,
title = "Variable-metric evolution strategies for direct policy search",
author = "Verena Heidrich-Meisner and Christian Igel",
year = "2009",
language = "English",
note = "null ; Conference date: 18-06-2009 Through 19-06-2009",
}
RIS
TY - ABST
T1 - Variable-metric evolution strategies for direct policy search
AU - Heidrich-Meisner, Verena
AU - Igel, Christian
PY - 2009
Y1 - 2009
M3 - Conference abstract for conference
Y2 - 18 June 2009 through 19 June 2009
ER -
ID: 168461645