Daniel Hennes
Daniel Hennes
Research Scientist, Google DeepMind
Verified email at
Cited by
Cited by
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
Multi-robot collision avoidance with localization uncertainty.
D Hennes, D Claes, W Meeussen, K Tuyls
AAMAS, 147-154, 2012
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
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
Evolving solutions to TSP variants for active space debris removal
D Izzo, I Getzner, D Hennes, LF Simőes
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
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
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
Designing complex interplanetary trajectories for the global trajectory optimization competitions
D Izzo, D Hennes, LF Simőes, M Märtens
Space Engineering, 151-176, 2016
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
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
Learning the optimal state-feedback using deep networks
C Sánchez-Sánchez, D Izzo, D Hennes
Symposium Series on Computational Intelligence, 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
Interplanetary Trajectory Planning with Monte Carlo Tree Search
D Hennes, D Izzo
International Joint Conference on Artificial Intelligence, 2015
State-coupled replicator dynamics
D Hennes, K Tuyls, M Rauterberg
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
Fast approximators for optimal low-thrust hops between main belt asteroids
D Hennes, D Izzo, D Landau
Symposium Series on Computational Intelligence, 2016
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
Gaussian process estimation of odometry errors for localization and mapping
J Hidalgo-Carrió, D Hennes, J Schwendner, F Kirchner
2017 IEEE International Conference on Robotics and Automation (ICRA), 5696-5701, 2017
Bee-inspired foraging in an embodied swarm
S Alers, D Bloembergen, D Hennes, S De Jong, M Kaisers, N Lemmens, ...
The 10th International Conference on Autonomous Agents and Multiagent …, 2011
Space debris removal: A game theoretic analysis
R Klima, D Bloembergen, R Savani, K Tuyls, D Hennes, D Izzo
Games 7 (3), 20, 2016
Trading in markets with noisy information: An evolutionary analysis
D Bloembergen, D Hennes, P McBurney, K Tuyls
Connection Science 27 (3), 253-268, 2015
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