Daan Bloembergen

发表

Empirical and theoretical support for lenient learning

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2011, AAMAS.

Space Debris Removal: A Game Theoretic Analysis

Dario Izzo, Rahul Savani, Karl Tuyls, 2016, ECAI.

Environmental effects on simulated emotional and moody agents

Katie Atkinson, Karl Tuyls, Daan Bloembergen, 2017, The Knowledge Engineering Review.

Fairness in Multiplayer Ultimatum Games Through Moderate Responder Selection

Daan Bloembergen, Fernando P. Santos, 2019, Artificial Life Conference Proceedings.

A Telepresence-Robot Approach for Efficient Coordination of Swarms

Daan Bloembergen, Karl Tuyls, Elisa Cucco, 2016, ALIFE.

RLBOA: A Modular Reinforcement Learning Framework for Autonomous Negotiating Agents

Daan Bloembergen, Tim Baarslag, Jasper Bakker, 2019, AAMAS.

Empirical and Theoretical Support for Lenient Learning (Extended Abstract)

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2011 .

Evolution of cooperation in arbitrary complex networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, AAMAS.

Bee-inspired foraging in an embodied swarm (Demonstration)

Gerhard Weiss, Karl Tuyls, Michael Kaisers, 2011 .

Bee-inspired foraging in an embodied swarm

Gerhard Weiss, Karl Tuyls, Michael Kaisers, 2011, AAMAS.

Space Debris Removal: Learning to Cooperate and the Price of Anarchy

Dario Izzo, Rahul Savani, Karl Tuyls, 2018, Front. Robot. AI.

Theory of Cooperation in Complex Social Networks

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, AAAI.

The Effect of Mobility and Emotion on Interactions in Multi-Agent Systems

Katie Atkinson, Karl Tuyls, Daan Bloembergen, 2016, STAIRS.

Influencing Social Networks: An Optimal Control Study

Gerhard Weiss, Haitham Bou-Ammar, Bijan Ranjbar Sahraei, 2014, ECAI.

Lenient Multi-Agent Deep Reinforcement Learning pdf

Rahul Savani, Gregory Palmer, Karl Tuyls, 2017, AAMAS.

Evolutionary advantage of foresight in markets

Simon Parsons, Karl Tuyls, Michael Kaisers, 2012, GECCO '12.

Robust temporal difference learning for critical domains pdf

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2019, AAMAS.

Telepresence Robots as a Research Platform for AI

Karl Tuyls, Daan Bloembergen, Daniel Hennes, 2013, AAAI Spring Symposium: Designing Intelligent Robots.

Learning in Networked Interactions: A Replicator Dynamics Approach

Karl Tuyls, Daan Bloembergen, Ipek Caliskanelli, 2014, ALIA.

Preface to the special issue: adaptive and learning agents

Tim Brys, Daan Bloembergen, Logan Yliniemi, 2017, Knowl. Eng. Rev..

Modelling Mood in Co-operative Emotional Agents

Katie Atkinson, Karl Tuyls, Daan Bloembergen, 2016, DARS.

On Rational Delegations in Liquid Democracy

Martin Lackner, Davide Grossi, Daan Bloembergen, 2018, AAAI.

Evolutionary Dynamics of Multi-Agent Learning: A Survey

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2015, J. Artif. Intell. Res..

Swarmlab@work team description paper

Gerhard Weiss, Daan Bloembergen, Daniel Hennes, 2013 .

A common gradient in multi-agent reinforcement learning

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2012, AAMAS.

Space Debris Removal: A Game Theoretic Analysis

Dario Izzo, Rahul Savani, Karl Tuyls, 2016, Games.

Mood modelling within reinforcement learning

Katie Atkinson, Karl Tuyls, Daan Bloembergen, 2017, ECAL.

Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading

Simon Parsons, Karl Tuyls, Daan Bloembergen, 2015, AAMAS.

Multi-agent Learning and the Reinforcement Gradient

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2011, EUMAS.

Stability of Human-Inspired Agent Societies

Katie Atkinson, Karl Tuyls, Daan Bloembergen, 2019, AAMAS.

MITRO: an augmented mobile telepresence robot with assisted control (demonstration)

Max Bügler, Karl Tuyls, Daan Bloembergen, 2012, AAMAS.

Trading in markets with noisy information: an evolutionary analysis

Peter McBurney, Karl Tuyls, Daan Bloembergen, 2015, Connect. Sci..

Automatic labelling of urban point clouds using data fusion pdf

Daan Bloembergen, Chris Eijgenstein, D. Bloembergen, 2021, ArXiv.

Back to Basics: Deep Reinforcement Learning in Traffic Signal Control pdf

Daan Bloembergen, Tim Bakker, Laurens Samson, 2021, ArXiv.

Lenient Learning in a Multiplayer Stag Hunt

Karl Tuyls, Daan Bloembergen, K. Tuyls, 2011 .

Game Theoretic Analysis of the Space Debris Dilemma Final Report

Dario Izzo, Rahul Savani, Karl Tuyls, 2016 .

A Comparative Study of Multi-agent Reinforcement Learning Dynamics

Karl Tuyls, Michael Kaisers, Daan Bloembergen, 2010 .