Daniel Hennes

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Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolDirección de correo verificada de hcompany.ai
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 OmidshafieiChief Scientist at Field AI (previously: Google DeepMind, Google Research, MIT)Dirección de correo verificada de google.com
Michael KaisersDeepMindDirección de correo verificada de deepmind.com
Marc LanctotResearch Scientist, Google DeepMindDirección de correo verificada de google.com
julien perolatDeepMindDirección de correo verificada de google.com
Paul MullerResearch Scientist, DeepmindDirección de correo verificada de google.com
Rémi MunosFAIR, MetaDirección 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
Wim MeeussenWillow Garage IncDirección de correo verificada de willowgarage.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
Luís F. SimõesML AnalyticsDirección de correo verificada de esa.int
Marc ToussaintProfessor of Computer Science, TU Berlin, GermanyDirección de correo verificada de tu-berlin.de
Marcus MärtensAustralian Institute of Machine LearningDirección de correo verificada de adelaide.edu.au
Guido de CroonFull professor, Delft University of TechnologyDirección de correo verificada de tudelft.nl
Edgar A. Duéñez-GuzmánGoogle DeepMindDirección de correo verificada de oeb.harvard.edu
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	376	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	289	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	239	2022
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	167	2012
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	123	2022
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	120	2019
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	114	2021
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	104	2012
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	100	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	68*	2020
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	68	2016
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	63	2011
Learning the optimal state-feedback using deep networks C Sánchez-Sánchez, D Izzo, D Hennes Symposium Series on Computational Intelligence, 2016	59	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	58	2015
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	53	2015
Interplanetary Trajectory Planning with Monte Carlo Tree Search D Hennes, D Izzo International Joint Conference on Artificial Intelligence, 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	51	2013
Fast approximators for optimal low-thrust hops between main belt asteroids D Hennes, D Izzo, D Landau Symposium Series on Computational Intelligence, 2016	48	2016
Navigating the landscape of multiplayer games S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ... Nature communications 11 (1), 5603, 2020	47	2020
Reinforcement Learning for Spacecraft Maneuvering Near Small Bodies S Willis, D Izzo, D Hennes AAS/AIAA Space Flight Mechanics Meeting, 2016	45	2016

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