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Link to original content: https://dblp.dagstuhl.de/rec/conf/atal/HennesMOMPLGLPD20.ris
Provider: Schloss Dagstuhl - Leibniz Center for Informatics Database: dblp computer science bibliography Content:text/plain; charset="utf-8" TY - CPAPER ID - DBLP:conf/atal/HennesMOMPLGLPD20 AU - Hennes, Daniel AU - Morrill, Dustin AU - Omidshafiei, Shayegan AU - Munos, Rémi AU - Pérolat, Julien AU - Lanctot, Marc AU - Gruslys, Audrunas AU - Lespiau, Jean-Baptiste AU - Parmas, Paavo AU - Duéñez-Guzmán, Edgar A. AU - Tuyls, Karl TI - Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. BT - Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020 SP - 492 EP - 501 PY - 2020// DO - 10.5555/3398761.3398822 UR - https://dl.acm.org/doi/10.5555/3398761.3398822 UR - https://www.ifaamas.org/Proceedings/aamas2020/pdfs/p492.pdf ER -