| 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 | 347 | 2015 |
| Lenient multi-agent deep reinforcement learning G Palmer, K Tuyls, D Bloembergen, R Savani Proc. of the 17th Int. Conf. on Autonomous Agents and Multiagent Systems …, 2018 | 205 | 2018 |
| On Rational Delegations in Liquid Democracy D Bloembergen, D Grossi, M Lackner The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 73 | 2019 |
| Evolution of cooperation in arbitrary complex networks B Ranjbar-Sahraei, H Bou Ammar, D Bloembergen, K Tuyls, G Weiss Proceedings of the 2014 international conference on Autonomous agents and …, 2014 | 56 | 2014 |
| RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents J Bakker, A Hammond, D Bloembergen, T Baarslag Proc. of the 18th International Conference on Autonomous Agents and …, 2019 | 48 | 2019 |
| Space debris removal: A game theoretic analysis R Klima, D Bloembergen, R Savani, K Tuyls, D Hennes, D Izzo Games 7 (3), 20, 2016 | 33 | 2016 |
| Influencing Social Networks: An Optimal Control Study D Bloembergen, B Ranjbar-Sahraei, HB Ammar, K Tuyls, G Weiss Proceedings of the 21st European Conference on Artificial Intelligence (ECAI …, 2014 | 30 | 2014 |
| Lenient frequency adjusted Q-learning D Bloembergen, M Kaisers, K Tuyls Proc. of 22nd Belgium-Netherlands Conf. on Artif. Intel, 2010 | 26 | 2010 |
| Space debris removal: Learning to cooperate and the price of anarchy R Klima, D Bloembergen, R Savani, K Tuyls, A Wittig, A Sapera, D Izzo Frontiers in Robotics and AI 5, 54, 2018 | 24 | 2018 |
| Trading in markets with noisy information: An evolutionary analysis D Bloembergen, D Hennes, P McBurney, K Tuyls Connection Science 27 (3), 253-268, 2015 | 23 | 2015 |
| Theory of cooperation in complex social networks B Ranjbar-Sahraei, HB Ammar, D Bloembergen, K Tuyls, G Weiss Proceedings of the 25th AAAI Conference on Artificial Intelligence (AAAI-14), 2014 | 22 | 2014 |
| Bee-inspired foraging in an embodied swarm S Alers, D Bloembergen, D Hennes, S De Jong, M Kaisers, N Lemmens, ... Autonomous Agents and Multiagent Systems (AAMAS 2011), 1311-1312, 2011 | 21 | 2011 |
| A common gradient in multi-agent reinforcement learning. M Kaisers, D Bloembergen, K Tuyls AAMAS, 1393-1394, 2012 | 14 | 2012 |
| Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading. D Bloembergen, D Hennes, S Parsons, K Tuyls AAMAS, 1699-1700, 2015 | 12 | 2015 |
| Robust temporal difference learning for critical domains R Klima, D Bloembergen, M Kaisers, K Tuyls Proc. of the 18th International Conference on Autonomous Agents and …, 2019 | 11 | 2019 |
| Evolutionary advantage of foresight in markets D Hennes, D Bloembergen, M Kaisers, K Tuyls, S Parsons Proceedings of the 14th annual conference on genetic and evolutionary …, 2012 | 11 | 2012 |
| Empirical and theoretical support for lenient learning D Bloembergen, M Kaisers, K Tuyls Autonomous Agents and Multiagent Systems (AAMAS 2011) 9, 1105-1106, 2011 | 11 | 2011 |
| Robust Multi-agent Q-learning in Cooperative Games with Adversaries E Nisioti, D Bloembergen, M Kaisers AAAI-21 Workshop on Reinforcement Learning in Games, 2021 | 10 | 2021 |
| Effects of evolution on the emergence of scale free networks B Ranjbar-Sharaei, D Bloembergen, HB Ammar, K Tulys, G Weiss Proceedings of the 14th International Conference on the Synthesis and …, 2014 | 9 | 2014 |
| Mood modelling within reinforcement learning J Collenette, K Atkinson, D Bloembergen, K Tuyls Artificial Life Conference Proceedings, 106-113, 2017 | 8 | 2017 |
Michael KaisersDeepMind在 deepmind.com 的电子邮件经过验证
