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Daan Bloembergen

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2020 – today

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2022
[i6]
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  - journals/corr/abs-2211-04108
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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
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  - journals/corr/abs-2108-13757
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Daan Bloembergen, Chris Eijgenstein:
Automatic labelling of urban point clouds using data fusion. CoRR abs/2108.13757 (2021)
[i4]
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  - journals/corr/abs-2109-07180
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Sierk Kanis, Laurens Samson, Daan Bloembergen, Tim Bakker:
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control. CoRR abs/2109.07180 (2021)

2010 – 2019

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2019
[c25]
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Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. AAAI 2019: 1796-1803
[c24]
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Jasper Bakker, Aron Hammond, Daan Bloembergen, Tim Baarslag:
RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents. AAMAS 2019: 260-268
[c23]
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Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust Temporal Difference Learning for Critical Domains. AAMAS 2019: 350-358
[c22]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Stability of Human-Inspired Agent Societies. AAMAS 2019: 1889-1891
[c21]
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  - conf/isalalife/SantosB19
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Fernando P. Santos, Daan Bloembergen:
Fairness in Multiplayer Ultimatum Games Through Moderate Responder Selection. ALIFE 2019: 187-194
[c20]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Stability of Cooperation in Societies of Emotional and Moody Agents. ALIFE 2019: 467-474
[i3]
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  - journals/corr/abs-1901-08021
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Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Robust temporal difference learning for critical domains. CoRR abs/1901.08021 (2019)
2018
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  - journals/firai/KlimaBSTWSI18
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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)
[c19]
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  - conf/atal/PalmerTBS18
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Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani:
Lenient Multi-Agent Deep Reinforcement Learning. AAMAS 2018: 443-451
[c18]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
On the Role of Mobility and Interaction Topologies in Social Dilemmas. ALIFE 2018: 477-484
[i2]
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  - journals/corr/abs-1802-08020
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Daan Bloembergen, Davide Grossi, Martin Lackner:
On Rational Delegations in Liquid Democracy. CoRR abs/1802.08020 (2018)
2017
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Daan Bloembergen, Tim Brys, Logan Yliniemi:
Preface to the special issue: adaptive and learning agents. Knowl. Eng. Rev. 32: e17 (2017)
[j4]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Environmental effects on simulated emotional and moody agents. Knowl. Eng. Rev. 32: e19 (2017)
[c17]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Mood modelling within reinforcement learning. ECAL 2017: 106-113
[i1]
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Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani:
Lenient Multi-Agent Deep Reinforcement Learning. CoRR abs/1707.04402 (2017)
2016
[j3]
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  - journals/games/KlimaBSTHI16
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Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. Games 7(3): 20 (2016)
[c16]
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  - conf/alife/BloembergenCCAT16
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Daan Bloembergen, Daniel Claes, Elisa Cucco, Sjriek Alers, Karl Tuyls:
A Telepresence-Robot Approach for Efficient Coordination of Swarms. ALIFE 2016: 666-673
[c15]
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Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls:
Modelling Mood in Co-operative Emotional Agents. DARS 2016: 559-572
[c14]
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Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. ECAI 2016: 1658-1659
[c13]
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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
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  - journals/connection/BloembergenHMT15
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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]
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Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers:
Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. 53: 659-697 (2015)
[c12]
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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]
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  - conf/aaai/SahraeiBBTW14
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Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss:
Theory of Cooperation in Complex Social Networks. AAAI 2014: 1471-1477
[c10]
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Daan Bloembergen, Ipek Caliskanelli, Karl Tuyls:
Learning in Networked Interactions: A Replicator Dynamics Approach. ALIA 2014: 44-58
[c9]
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Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss:
Evolution of cooperation in arbitrary complex networks. AAMAS 2014: 677-684
[c8]
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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]
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  - conf/aaaiss/AlersBCFHT13
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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]
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  - conf/aamas/KaisersBT12
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Michael Kaisers, Daan Bloembergen, Karl Tuyls:
A common gradient in multi-agent reinforcement learning. AAMAS 2012: 1393-1394
[c5]
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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]
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  - conf/gecco/HennesBKTP12
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Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons:
Evolutionary advantage of foresight in markets. GECCO 2012: 943-950
2011
[c3]
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  - conf/atal/BloembergenKT11
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Daan Bloembergen, Michael Kaisers, Karl Tuyls:
Empirical and theoretical support for lenient learning. AAMAS 2011: 1105-1106
[c2]
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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]
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  - conf/eumas/KaisersBT11
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Michael Kaisers, Daan Bloembergen, Karl Tuyls:
Multi-agent Learning and the Reinforcement Gradient. EUMAS 2011: 145-159

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