Daniel Hennes

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Karl TuylsResearch Scientist, Google DeepMind and Professor of computer science, University of LiverpoolDirección de correo verificada de google.com
Dario IzzoScientist at the European Space AgencyDirección de correo verificada de esa.int
Daan BloembergenAI Researcher, City of AmsterdamDirección de correo verificada de amsterdam.nl
Shayegan OmidshafieiGoogle Research (previously: DeepMind, MIT)Dirección de correo verificada de google.com
Paul MullerResearch Scientist, DeepmindDirección de correo verificada de google.com
julien perolatDeepMindDirección de correo verificada de google.com
Michael KaisersDeepMindDirección de correo verificada de deepmind.com
Marc LanctotResearch Scientist, DeepMindDirección de correo verificada de google.com
Rémi MunosDeepMindDirección de correo verificada de inria.fr
Sjriek AlersFontys university of applied sciencesDirección de correo verificada de fontys.nl
Mark RowlandResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Siqi LiuDeepMind, University College of LondonDirección de correo verificada de google.com
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLDirección de correo verificada de ucl.ac.uk
Wim MeeussenWillow Garage IncDirección de correo verificada de willowgarage.com
Luís F. SimõesML AnalyticsDirección de correo verificada de esa.int
Marcus MärtensEuropean Space AgencyDirección de correo verificada de esa.int
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyDirección de correo verificada de tu-berlin.de
Guido de CroonFull professor, Delft University of TechnologyDirección de correo verificada de tudelft.nl
Gerhard WeissProfessor of Computer Science and Artificial Intelligence, Maastricht UniversityDirección de correo verificada de maastrichtuniversity.nl
Matthias RAUTERBERGEindhoven University of Technology (TU/e)Dirección de correo verificada de tue.nl

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Daniel Hennes

Research Scientist, Google DeepMind

Dirección de correo verificada de google.com


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Evolutionary dynamics of multi-agent learning: A survey D Bloembergen, K Tuyls, D Hennes, M Kaisers Journal of Artificial Intelligence Research 53, 659-697, 2015	313	2015
OpenSpiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ... arXiv preprint arXiv:1908.09453, 2019	203	2019
Multi-robot collision avoidance with localization uncertainty D Hennes, D Claes, W Meeussen, K Tuyls Proceedings of the 11th International Conference on Autonomous Agents and …, 2012	147	2012
Collision avoidance under bounded localization uncertainty D Claes, D Hennes, K Tuyls, W Meeussen 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012	91	2012
A generalized training approach for multiagent learning P Muller, S Omidshafiei, M Rowland, K Tuyls, J Perolat, S Liu, D Hennes, ... arXiv preprint arXiv:1909.12823, 2019	86	2019
Mastering the game of Stratego with model-free multiagent reinforcement learning J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ... Science 378 (6623), 990-996, 2022	83	2022
Evolving solutions to TSP variants for active space debris removal D Izzo, I Getzner, D Hennes, LF Simões Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015	75	2015
Game Plan: What AI can do for Football, and What Football can do for AI K Tuyls, S Omidshafiei, P Muller, Z Wang, J Connor, D Hennes, I Graham, ... Journal of Artificial Intelligence Research 71, 41-88, 2021	72	2021
Hierarchies of octrees for efficient 3d mapping KM Wurm, D Hennes, D Holz, RB Rusu, C Stachniss, K Konolige, ... 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011	59	2011
Designing complex interplanetary trajectories for the global trajectory optimization competitions D Izzo, D Hennes, LF Simões, M Märtens Space Engineering: Modeling and Optimization with Case Studies, 151-176, 2016	56	2016
From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SM Eslami, D Hennes, WM Czarnecki, ... arXiv preprint arXiv:2105.12196, 2021	52	2021
Learning the optimal state-feedback using deep networks C Sánchez-Sánchez, D Izzo, D Hennes Symposium Series on Computational Intelligence, 2016	52	2016
Novelty search for soft robotic space exploration G Methenitis, D Hennes, D Izzo, A Visser Proceedings of the 2015 annual conference on Genetic and Evolutionary …, 2015	51	2015
OctoSLAM: A 3D mapping approach to situational awareness of unmanned aerial vehicles J Fossel, D Hennes, D Claes, S Alers, K Tuyls 2013 International Conference on Unmanned Aircraft Systems (ICUAS), 179-188, 2013	50	2013
Effective approximations for multi-robot coordination in spatially distributed tasks D Claes, P Robbel, F Oliehoek, K Tuyls, D Hennes, W Van der Hoek Proceedings of the 14th international conference on autonomous agents and …, 2015	49	2015
Neural replicator dynamics: Multiagent learning via hedging policy gradients D Hennes, D Morrill, S Omidshafiei, R Munos, J Perolat, M Lanctot, ... Proceedings of the 19th international conference on autonomous agents and …, 2020	47*	2020
Fast approximators for optimal low-thrust hops between main belt asteroids D Hennes, D Izzo, D Landau Symposium Series on Computational Intelligence, 2016	41	2016
Interplanetary Trajectory Planning with Monte Carlo Tree Search D Hennes, D Izzo International Joint Conference on Artificial Intelligence, 2015	41	2015
From motor control to team play in simulated humanoid football S Liu, G Lever, Z Wang, J Merel, SMA Eslami, D Hennes, WM Czarnecki, ... Science Robotics 7 (69), eabo0235, 2022	33	2022
Navigating the landscape of multiplayer games S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ... Nature communications 11 (1), 5603, 2020	32	2020

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