| 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 | 361 | 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 | 271 | 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 | 197 | 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 | 166 | 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 | 115 | 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 | 112 | 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 | 101 | 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 | 100 | 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 | 90 | 2015 |
| Designing complex interplanetary trajectories for the global trajectory optimization competitions D Izzo, D Hennes, LF Simőes, M Märtens Space Engineering: Modeling and Optimization with Case Studies, 151-176, 2016 | 65 | 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 | 64* | 2020 |
| 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 | 62 | 2011 |
| 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 |
| Learning the optimal state-feedback using deep networks C Sánchez-Sánchez, D Izzo, D Hennes Symposium Series on Computational Intelligence, 2016 | 56 | 2016 |
| 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 |
| 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 |
| 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 |
| Fast approximators for optimal low-thrust hops between main belt asteroids D Hennes, D Izzo, D Landau Symposium Series on Computational Intelligence, 2016 | 46 | 2016 |
| Interplanetary Trajectory Planning with Monte Carlo Tree Search D Hennes, D Izzo International Joint Conference on Artificial Intelligence, 2015 | 45 | 2015 |
| Reinforcement Learning for Spacecraft Maneuvering Near Small Bodies S Willis, D Izzo, D Hennes AAS/AIAA Space Flight Mechanics Meeting, 2016 | 44 | 2016 |
Karl TuylsResearch Scientist, Entrepreneur, ex-Google DeepMind, Prof at University of LiverpoolVerified email at hcompany.ai
