Karl Tuyls
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
55
Venues
18
Active years
2002–2024
Best venue rank
A*
Where they publish
Papers
55 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | IJCAI | Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. | Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe |
| 2023 | ICML | Human-Timescale Adaptation in an Open-Ended Task Space. | Jakob Bauer, Kate Baumli, Feryal M. P. Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez Nieves, Nemanja Rakicevic, Tim Rocktschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang |
| 2022 | PPSN | Generative Models over Neural Controllers for Transfer Learning. | James Butterworth, Rahul Savani, Karl Tuyls |
| 2021 | ICML | Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. | Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel |
| 2021 | ICML | From Poincar Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. | Julien Prolat, Rmi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls |
| 2020 | ECAI | The Automated Inspection of Opaque Liquid Vaccines. | Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore |
| 2020 | ICLR | A Generalized Training Approach for Multiagent Learning. | Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Prolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rmi Munos |
| 2020 | ICML | Fast computation of Nash Equilibria in Imperfect Information Games. | Rmi Munos, Julien Prolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls |
| 2019 | GECCO | Evolving indoor navigational strategies using gated recurrent units in NEAT. | James Butterworth, Rahul Savani, Karl Tuyls |
| 2019 | ICLR | Deep reinforcement learning with relational inductive biases. | Vincius Flores Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P. Reichert, Timothy P. Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew M. Botvinick, Oriol Vinyals, Peter W. Battaglia |
| 2019 | IJCAI | Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. | Edward Lockhart, Marc Lanctot, Julien Prolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls |
| 2018 | ICLR | Emergent Communication through Negotiation. | Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark |
| 2018 | ICLR | Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. | Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark |
| 2018 | ICML | The Mechanics of n-Player Differentiable Games. | David Balduzzi, Sbastien Racanire, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel |
| 2018 | ICRA | Distance-Based Multi-Robot Coordination on Pocket Drones. | Bastian Broecker, Karl Tuyls, James Butterworth |
| 2018 | IROS | Fast Convergence for Object Detection by Learning how to Combine Error Functions. | Benjamin Schnieders, Karl Tuyls |
| 2017 | EUMAS | Multiagent Learning Paradigms. | Karl Tuyls, Peter Stone |
| 2017 | IROS | NOctoSLAM: Fast octree surface normal mapping and registration. | Joscha-David Fossel, Karl Tuyls, Benjamin Schnieders, Daniel Claes, Daniel Hennes |
| 2016 | ALIFE | A Telepresence-Robot Approach for Efficient Coordination of Swarms. | Daan Bloembergen, Daniel Claes, Elisa Cucco, Sjriek Alers, Karl Tuyls |
| 2016 | ECAI | Space Debris Removal: A Game Theoretic Analysis. | Richard Klma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo |
| 2016 | ECAI | Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. | Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng |
| 2016 | ICRA | Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones. | Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen |
| 2016 | IROS | Improved deep reinforcement learning for robotics through distribution-based experience retention. | Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska |
| 2015 | IROS | 2D-SDF-SLAM: A signed distance function based SLAM frontend for laser scanners. | Joscha-David Fossel, Karl Tuyls, Jrgen Sturm |
| 2014 | AAAI | Theory of Cooperation in Complex Social Networks. | Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss |
| 2014 | ALIFE | Insect-Inspired Robot Coordination: Foraging and Coverage. | Sjriek Alers, Karl Tuyls, Bijan Ranjbar Sahraei, Daniel Claes, Gerhard Weiss |
| 2014 | ALIFE | Effects of Evolution on the Emergence of Scale Free Networks. | Bijan Ranjbar Sahraei, Dean Bloembergen, Haitham Ammar, Karl Tuyls, Gerhard Weiss |
| 2014 | ECAI | Influencing Social Networks: An Optimal Control Study. | Daan Bloembergen, Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss |
| 2014 | ECAI | Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. | Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung |
| 2014 | KI | Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory. | Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung |
| 2014 | RoboCup | Winning the RoboCup@Work 2014 Competition: The smARTLab Approach. | Bastian Broecker, Daniel Claes, Joscha-David Fossel, Karl Tuyls |
| 2013 | IJCAI | Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains. | Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss |
| 2013 | RoboCup | How to Win RoboCup@Work? - The Swarmlab@Work Approach Revealed. | Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls, Gerhard Weiss |
| 2012 | AAMAS | MITRO: an augmented mobile telepresence robot with assisted control (demonstration). | Sjriek Alers, Daan Bloembergen, Max Bgler, Daniel Hennes, Karl Tuyls |
| 2012 | AAMAS | Reinforcement learning transfer via sparse coding. | Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss |
| 2012 | AAMAS | CALU: collision avoidance with localization uncertainty (demonstration). | Daniel Claes, Daniel Hennes, Wim Meeussen, Karl Tuyls |
| 2012 | AAMAS | Multi-robot collision avoidance with localization uncertainty. | Daniel Hennes, Daniel Claes, Wim Meeussen, Karl Tuyls |
| 2012 | AAMAS | A common gradient in multi-agent reinforcement learning. | Michael Kaisers, Daan Bloembergen, Karl Tuyls |
| 2012 | GECCO | Evolutionary advantage of foresight in markets. | Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons |
| 2012 | IROS | Collision avoidance under bounded localization uncertainty. | Daniel Claes, Daniel Hennes, Karl Tuyls, Wim Meeussen |
| 2011 | AAAI | FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes. | Michael Kaisers, Karl Tuyls |
| 2011 | EUMAS | Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping. | Haitham Bou-Ammar, Matthew E. Taylor, Karl Tuyls, Gerhard Weiss |
| 2011 | EUMAS | Multi-agent Learning and the Reinforcement Gradient. | Michael Kaisers, Daan Bloembergen, Karl Tuyls |
| 2011 | ICAART | Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning. | Mihail Mihaylov, Yann-Al Le Borgne, Ann Now, Karl Tuyls |
| 2011 | ICAART | Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks. | Mihail Mihaylov, Yann-Al Le Borgne, Karl Tuyls, Ann Now |
| 2010 | GECCO | Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks. | Nyree Lemmens, Karl Tuyls |
| 2008 | AAAI | Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. | Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls |
| 2007 | AAMAS | Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. | Steven de Jong, Karl Tuyls, Katja Verbeeck, Nico Roos |
| 2007 | AAMAS | Bee Behaviour in Multi-agent Systems. | Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Now |
| 2006 | IJCNN | Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. | Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma |
| 2006 | VLDB | Inference of Concise DTDs from XML Data. | Geert Jan Bex, Frank Neven, Thomas Schwentick, Karl Tuyls |
| 2005 | AAMAS | Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. | Katja Verbeeck, Ann Now, Maarten Peeters, Karl Tuyls |
| 2005 | EUMAS | Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree. | Karl Tuyls, Bart Kuijpers |
| 2002 | ICMLA | Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. | Karl Tuyls, Sam Maes, Bernard Manderick |
| 2002 | RoboCup | Reinforcement Learning in Large State Spaces. | Karl Tuyls, Sam Maes, Bernard Manderick |