E-LIB Suche - Ergebnisse für: Perolat, Julien

1

Mastering the game of Stratego with model-free multiagent r..:

Perolat, Julien ; De Vylder, Bart ; Hennes, Daniel...
Science. 378 (2022) 6623 - p. 990-996 , 2022

Link: https://doi.org/10.1126/..

2

Neural Replicator Dynamics : Multiagent Learning via Hed..:

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,

Hennes, Daniel ; Morrill, Dustin ; Omidshafiei, Shayegan... - p. 492-501 , 2020

Link: https://dl.acm.org/doi/1..

3

Navigating the landscape of multiplayer games:

Omidshafiei, Shayegan ; Tuyls, Karl ; Czarnecki, Wojciech M....
Nature Communications. 11 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

4

Malthusian Reinforcement Learning:

, In: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems,

Leibo, Joel Z. ; Perolat, Julien ; Hughes, Edward... - p. 1099-1107 , 2019

Link: https://dl.acm.org/doi/1..

5

α-Rank: Multi-Agent Evaluation by Evolution:

Omidshafiei, Shayegan ; Papadimitriou, Christos ; Piliouras, Georgios...
Scientific Reports. 9 (2019) 1 - p. , 2019

Link: https://doi.org/10.1038/..

6

Bounds and dynamics for empirical game theoretic analysis:

Tuyls, Karl ; Perolat, Julien ; Lanctot, Marc...
Autonomous Agents and Multi-Agent Systems. 34 (2019) 1 - p. , 2019

Link: https://doi.org/10.1007/..

7

Symmetric Decomposition of Asymmetric Games:

Tuyls, Karl ; Pérolat, Julien ; Lanctot, Marc...
Scientific Reports. 8 (2018) 1 - p. , 2018

Link: https://doi.org/10.1038/..

8

A Generalised Method for Empirical Game Theoretic Analysis:

, In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems,

Tuyls, Karl ; Perolat, Julien ; Lanctot, Marc.. - p. 77-85 , 2018

Link: https://dl.acm.org/doi/1..

9

Generalizing the Wilcoxon rank-sum test for interval data:

Perolat, Julien ; Couso, Inés ; Loquin, Kevin.
International Journal of Approximate Reasoning. 56 (2015) - p. 108-121 , 2015

Link: https://doi.org/10.1016/..

10

Population-based Evaluation in Repeated Rock-Paper-Scissors..:

Lanctot, Marc ; Schultz, John ; Burch, Neil...
http://arxiv.org/abs/2303.03196. , 2023

Link: http://arxiv.org/abs/230..

11

Mastering the Game of Stratego with Model-Free Multiagent R..:

Perolat, Julien ; de Vylder, Bart ; Hennes, Daniel...
http://arxiv.org/abs/2206.15378. , 2022

Link: http://arxiv.org/abs/220..

12

Figure Data for the paper "Mastering the Game of Stratego w..:

Perolat, Julien ; De Vylder, Bart ; Hennes, Daniel...
doi:10.5281/zenodo.7118518. , 2022

Link: https://zenodo.org/recor..

13

Learning Correlated Equilibria in Mean-Field Games:

Muller, Paul ; Elie, Romuald ; Rowland, Mark...
http://arxiv.org/abs/2208.10138. , 2022

Link: http://arxiv.org/abs/220..

14

Scalable Deep Reinforcement Learning Algorithms for Mean Fi..:

Laurière, Mathieu ; Perrin, Sarah ; Girgin, Sertan...
http://arxiv.org/abs/2203.11973. , 2022

Link: http://arxiv.org/abs/220..

15

Developing, Evaluating and Scaling Learning Agents in Multi..:

Gemp, Ian ; Anthony, Thomas ; Bachrach, Yoram...
http://arxiv.org/abs/2209.10958. , 2022

Link: http://arxiv.org/abs/220..