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Daan Bloembergen
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Journal Articles
- 2018
- [j6]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera, Dario Izzo:
Space Debris Removal: Learning to Cooperate and the Price of Anarchy. Frontiers Robotics AI 5: 54 (2018) - 2017
- [j5]Daan Bloembergen, Tim Brys, Logan Yliniemi:
Preface to the special issue: adaptive and learning agents. Knowl. Eng. Rev. 32: e17 (2017) - [j4]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Environmental effects on simulated emotional and moody agents. Knowl. Eng. Rev. 32: e19 (2017) - 2016
- [j3]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. Games 7(3): 20 (2016) - 2015
- [j2]Daan Bloembergen, Daniel Hennes, Peter McBurney, Karl Tuyls:
Trading in markets with noisy information: an evolutionary analysis. Connect. Sci. 27(3): 253-268 (2015) - [j1]Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers:
Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. 53: 659-697 (2015)
Conference and Workshop Papers
- 2019
- [c25]Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. AAAI 2019: 1796-1803 - [c24]Jasper Bakker, Aron Hammond, Daan Bloembergen, Tim Baarslag:
RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. AAMAS 2019: 260-268 - [c23]Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust Temporal Difference Learning for Critical Domains. AAMAS 2019: 350-358 - [c22]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Stability of Human-Inspired Agent Societies. AAMAS 2019: 1889-1891 - [c21]Fernando P. Santos, Daan Bloembergen:
Fairness in Multiplayer Ultimatum Games Through Moderate Responder Selection. ALIFE 2019: 187-194 - [c20]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Stability of Cooperation in Societies of Emotional and Moody Agents. ALIFE 2019: 467-474 - 2018
- [c19]Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani:
Lenient Multi-Agent Deep Reinforcement Learning. AAMAS 2018: 443-451 - [c18]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
On the Role of Mobility and Interaction Topologies in Social Dilemmas. ALIFE 2018: 477-484 - 2017
- [c17]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Mood modelling within reinforcement learning. ECAL 2017: 106-113 - 2016
- [c16]Daan Bloembergen, Daniel Claes, Elisa Cucco, Sjriek Alers, Karl Tuyls:
A Telepresence-Robot Approach for Efficient Coordination of Swarms. ALIFE 2016: 666-673 - [c15]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Modelling Mood in Co-operative Emotional Agents. DARS 2016: 559-572 - [c14]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. ECAI 2016: 1658-1659 - [c13]Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
The Effect of Mobility and Emotion on Interactions in Multi-Agent Systems. STAIRS 2016: 39-50 - 2015
- [c12]Daan Bloembergen, Daniel Hennes, Simon Parsons, Karl Tuyls:
Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading. AAMAS 2015: 1699-1700 - 2014
- [c11]Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss:
Theory of Cooperation in Complex Social Networks. AAAI 2014: 1471-1477 - [c10]Daan Bloembergen, Ipek Caliskanelli, Karl Tuyls:
Learning in Networked Interactions: A Replicator Dynamics Approach. ALIA 2014: 44-58 - [c9]Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss:
Evolution of cooperation in arbitrary complex networks. AAMAS 2014: 677-684 - [c8]Daan Bloembergen, Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss:
Influencing Social Networks: An Optimal Control Study. ECAI 2014: 105-110 - 2013
- [c7]Sjriek Alers, Daan Bloembergen, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls:
Telepresence Robots as a Research Platform for AI. AAAI Spring Symposium: Designing Intelligent Robots 2013 - 2012
- [c6]Michael Kaisers, Daan Bloembergen, Karl Tuyls:
A common gradient in multi-agent reinforcement learning. AAMAS 2012: 1393-1394 - [c5]Sjriek Alers, Daan Bloembergen, Max Bügler, Daniel Hennes, Karl Tuyls:
MITRO: an augmented mobile telepresence robot with assisted control (demonstration). AAMAS 2012: 1475-1476 - [c4]Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons:
Evolutionary advantage of foresight in markets. GECCO 2012: 943-950 - 2011
- [c3]Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Empirical and theoretical support for lenient learning. AAMAS 2011: 1105-1106 - [c2]Sjriek Alers, Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, Gerhard Weiss:
Bee-inspired foraging in an embodied swarm. AAMAS 2011: 1311-1312 - [c1]Michael Kaisers, Daan Bloembergen, Karl Tuyls:
Multi-agent Learning and the Reinforcement Gradient. EUMAS 2011: 145-159
Informal and Other Publications
- 2022
- [i6]Cláudia Fonseca Pinhão, Chris Eijgenstein, Iva Gornishka, Shayla Jansen, Diederik M. Roijers, Daan Bloembergen:
Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds. CoRR abs/2211.04108 (2022) - 2021
- [i5]Daan Bloembergen, Chris Eijgenstein:
Automatic labelling of urban point clouds using data fusion. CoRR abs/2108.13757 (2021) - [i4]Sierk Kanis, Laurens Samson, Daan Bloembergen, Tim Bakker:
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control. CoRR abs/2109.07180 (2021) - 2019
- [i3]Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust temporal difference learning for critical domains. CoRR abs/1901.08021 (2019) - 2018
- [i2]Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. CoRR abs/1802.08020 (2018) - 2017
- [i1]Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani:
Lenient Multi-Agent Deep Reinforcement Learning. CoRR abs/1707.04402 (2017)
Coauthor Index
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