%0 Conference Paper %1 conf/atal/HennesMOMPLGLPD20 %A Hennes, Daniel %A Morrill, Dustin %A Omidshafiei, Shayegan %A Munos, Rémi %A Pérolat, Julien %A Lanctot, Marc %A Gruslys, Audrunas %A Lespiau, Jean-Baptiste %A Parmas, Paavo %A Duéñez-Guzmán, Edgar A. %A Tuyls, Karl %B AAMAS %D 2020 %E Seghrouchni, Amal El Fallah %E Sukthankar, Gita %E An, Bo %E Yorke-Smith, Neil %I International Foundation for Autonomous Agents and Multiagent Systems %K dblp %P 492-501 %T Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. %U http://dblp.uni-trier.de/db/conf/atal/aamas2020.html#HennesMOMPLGLPD20 %@ 978-1-4503-7518-4

@inproceedings{conf/atal/HennesMOMPLGLPD20, added-at = {2022-07-26T00:00:00.000+0200}, author = {Hennes, Daniel and Morrill, Dustin and Omidshafiei, Shayegan and Munos, Rémi and Pérolat, Julien and Lanctot, Marc and Gruslys, Audrunas and Lespiau, Jean-Baptiste and Parmas, Paavo and Duéñez-Guzmán, Edgar A. and Tuyls, Karl}, biburl = {https://www.bibsonomy.org/bibtex/260d9f9599e1466de250785147199ba5e/dblp}, booktitle = {AAMAS}, crossref = {conf/atal/2020}, editor = {Seghrouchni, Amal El Fallah and Sukthankar, Gita and An, Bo and Yorke-Smith, Neil}, ee = {https://www.ifaamas.org/Proceedings/aamas2020/pdfs/p492.pdf}, interhash = {d783ab474748af158b277eda1f23a7c3}, intrahash = {60d9f9599e1466de250785147199ba5e}, isbn = {978-1-4503-7518-4}, keywords = {dblp}, pages = {492-501}, publisher = {International Foundation for Autonomous Agents and Multiagent Systems}, timestamp = {2024-04-10T02:25:00.000+0200}, title = {Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients.}, url = {http://dblp.uni-trier.de/db/conf/atal/aamas2020.html#HennesMOMPLGLPD20}, year = 2020 }