Karl Tuyls - RankMe

266 papers A* 20A 52B 2C 14Misc 1Journal 104Unranked 62

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Empirical Game Theoretic Analysis: A Survey. J. Artif. Intell. Res. Michael P. Wellman, Karl Tuyls, Amy Greenwald
2024	J	`jnl`	An Analysis of Quantile Temporal-Difference Learning. J. Mach. Learn. Res. Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney
2024	J	`jnl`	Empirical Game-Theoretic Analysis: A Survey. CoRR Michael P. Wellman, Karl Tuyls, Amy Greenwald
2024	J	`jnl`	States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. CoRR Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
2024	A	`conf`	Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024	A*	`conf`	Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024	J	`jnl`	Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem. CoRR Raphael Koster, Miruna Pîslar, Andrea Tacchetti, Jan Balaguer, Leqi Liu, Romuald Elie, Oliver P. Hauser, Karl Tuyls, Matt M. Botvinick, Christopher Summerfield
2023	J	`jnl`	An Analysis of Quantile Temporal-Difference Learning. CoRR Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney
2023	J	`jnl`	Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas. CoRR Udari Madhushani, Kevin R. McKee, John P. Agapiou, Joel Z. Leibo, Richard Everett, Thomas W. Anthony, Edward Hughes, Karl Tuyls, Edgar A. Duéñez-Guzmán
2023	A*	`conf`	Human-Timescale Adaptation in an Open-Ended Task Space. ICML 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 Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M. Zhang
2023	J	`jnl`	Human-Timescale Adaptation in an Open-Ended Task Space. CoRR Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, 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 Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang
2023	A	`conf`	Multiagent Learning: From Fundamentals to Foundation Models. AAMAS Karl Tuyls
2023	J	`jnl`	TacticAI: an AI assistant for football tactics. CoRR Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
2023	J	`jnl`	Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2022	J	`jnl`	Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022	J	`jnl`	Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
2022	J	`jnl`	Evolutionary Dynamics and Phi-Regret Minimization in Games. J. Artif. Intell. Res. Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
2022	J	`jnl`	From motor control to team play in simulated humanoid football. Sci. Robotics Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2022	J	`jnl`	Game Theoretic Rating in N-player general-sum games with Equilibria. CoRR Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome T. Connor, Karl Tuyls, Thore Graepel
2022	—	`conf`	Generative Models over Neural Controllers for Transfer Learning. PPSN (1) James Butterworth, Rahul Savani, Karl Tuyls
2022	J	`jnl`	Learning Correlated Equilibria in Mean-Field Games. CoRR Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls
2022	A	`conf`	Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. AAMAS Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
2022	J	`jnl`	Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
2022	A	`conf`	Scaling Mean Field Games by Online Mirror Descent. AAMAS Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
2022	A*	`conf`	Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers. NeurIPS Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2022	J	`jnl`	Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers. CoRR Luke Marris, Ian Gemp, Thomas W. Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls
2021	J	`jnl`	Evolutionary Dynamics and Φ-Regret Minimization in Games. CoRR Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
2021	J	`jnl`	From Motor Control to Team Play in Simulated Humanoid Football. CoRR Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess
2021	A*	`conf`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML Julien Pérolat, Rémi 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
2021	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2021	J	`jnl`	Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. CoRR Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls
2021	A*	`conf`	Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. ICML Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel
2021	J	`jnl`	Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. CoRR Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel
2021	J	`jnl`	Scaling up Mean Field Games with Online Mirror Descent. CoRR Julien Pérolat, Sarah Perrin, Romuald Elie, Mathieu Laurière, Georgios Piliouras, Matthieu Geist, Karl Tuyls, Olivier Pietquin
2021	J	`jnl`	Statistical discrimination in learning agents. CoRR Edgar A. Duéñez-Guzmán, Kevin R. McKee, Yiran Mao, Ben Coppin, Silvia Chiappa, Alexander Sasha Vezhnevets, Michiel A. Bakker, Yoram Bachrach, Suzanne Sadedin, William Isaac, Karl Tuyls, Joel Z. Leibo
2021	J	`jnl`	Time-series Imputation of Temporally-occluded Multiagent Trajectories. CoRR Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls
2020	A*	`conf`	A Generalized Training Approach for Multiagent Learning. ICLR Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2020	J	`jnl`	Bounds and dynamics for empirical game theoretic analysis. Auton. Agents Multi Agent Syst. Karl Tuyls, Julien Pérolat, Marc Lanctot, Edward Hughes, Richard Everett, Joel Z. Leibo, Csaba Szepesvári, Thore Graepel
2020	A*	`conf`	Fast computation of Nash Equilibria in Imperfect Information Games. ICML Rémi Munos, Julien Pérolat, 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
2020	J	`jnl`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR Julien Pérolat, Rémi 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	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. CoRR Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis
2020	J	`jnl`	Navigating the Landscape of Games. CoRR Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome T. Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos
2020	A	`conf`	Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. AAMAS Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, Karl Tuyls
2020	A*	`conf`	Real World Games Look Like Spinning Tops. NeurIPS Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2020	J	`jnl`	Real World Games Look Like Spinning Tops. CoRR Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
2020	J	`jnl`	The Advantage Regret-Matching Actor-Critic. CoRR Audrunas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Pérolat, Dustin Morrill, Vinícius Flores Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls
2020	A	`conf`	The Automated Inspection of Opaque Liquid Vaccines. ECAI Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore
2020	J	`jnl`	The Automated Inspection of Opaque Liquid Vaccines. CoRR Gregory Palmer, Benjamin Schnieders, Rahul Savani, Karl Tuyls, Joscha-David Fossel, Harry Flore
2019	J	`jnl`	A Generalized Training Approach for Multiagent Learning. CoRR Paul Muller, Shayegan Omidshafiei, Mark Rowland, Karl Tuyls, Julien Pérolat, Siqi Liu, Daniel Hennes, Luke Marris, Marc Lanctot, Edward Hughes, Zhe Wang, Guy Lever, Nicolas Heess, Thore Graepel, Rémi Munos
2019	J	`jnl`	A comparative study of bug algorithms for robot navigation. Robotics Auton. Syst. Kimberly N. McGuire, Guido C. H. E. de Croon, Karl Tuyls
2019	A*	`conf`	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. IJCAI Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
2019	J	`jnl`	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. CoRR Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
2019	—	`conf`	Deep reinforcement learning with relational inductive biases. ICLR (Poster) Vinícius 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	J	`jnl`	Differentiable Game Mechanics. CoRR Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2019	J	`jnl`	Differentiable Game Mechanics. J. Mach. Learn. Res. Alistair Letcher, David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2019	J	`jnl`	Distant supervision of relation extraction in sparse data. Intell. Data Anal. Bijan Ranjbar Sahraei, Hossein Rahmani, Gerhard Weiss, Karl Tuyls
2019	J	`jnl`	Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT. CoRR James Butterworth, Rahul Savani, Karl Tuyls
2019	—	`conf`	Evolving indoor navigational strategies using gated recurrent units in NEAT. GECCO (Companion) James Butterworth, Rahul Savani, Karl Tuyls
2019	A	`conf`	Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. AAMAS Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls
2019	J	`jnl`	Fully Convolutional One-Shot Object Segmentation for Industrial Robotics. CoRR Benjamin Schnieders, Shan Luo, Gregory Palmer, Karl Tuyls
2019	J	`jnl`	Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment. Sci. Robotics Kimberly McGuire, Christophe De Wagter, Karl Tuyls, H. J. Kappen, Guido C. H. E. de Croon
2019	A*	`conf`	Multiagent Evaluation under Incomplete Information. NeurIPS Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Pérolat, Michal Valko, Georgios Piliouras, Rémi Munos
2019	J	`jnl`	Multiagent Evaluation under Incomplete Information. CoRR Mark Rowland, Shayegan Omidshafiei, Karl Tuyls, Julien Pérolat, Michal Valko, Georgios Piliouras, Rémi Munos
2019	A	`conf`	Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. AAMAS Gregory Palmer, Rahul Savani, Karl Tuyls
2019	J	`jnl`	Neural Replicator Dynamics. CoRR Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls
2019	J	`jnl`	OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
2019	A	`conf`	Robust Temporal Difference Learning for Critical Domains. AAMAS Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
2019	J	`jnl`	Robust temporal difference learning for critical domains. CoRR Richard Klíma, Daan Bloembergen, Michael Kaisers, Karl Tuyls
2019	J	`jnl`	SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes. Auton. Agents Multi Agent Syst. Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue, Zhiyong Feng
2019	C	`conf`	Stability of Cooperation in Societies of Emotional and Moody Agents. ALIFE Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2019	A	`conf`	Stability of Human-Inspired Agent Societies. AAMAS Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2019	J	`jnl`	α-Rank: Multi-Agent Evaluation by Evolution. CoRR Shayegan Omidshafiei, Christos H. Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Pérolat, Rémi Munos
2018	J	`jnl`	A Comparative Study of Bug Algorithms for Robot Navigation. CoRR Kimberly McGuire, Guido de Croon, Karl Tuyls
2018	A	`conf`	A Generalised Method for Empirical Game Theoretic Analysis. AAMAS Karl Tuyls, Julien Pérolat, Marc Lanctot, Joel Z. Leibo, Thore Graepel
2018	J	`jnl`	A Generalised Method for Empirical Game Theoretic Analysis. CoRR Karl Tuyls, Julien Pérolat, Marc Lanctot, Joel Z. Leibo, Thore Graepel
2018	A*	`conf`	Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. NeurIPS Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
2018	J	`jnl`	Actor-Critic Policy Optimization in Partially Observable Multiagent Environments. CoRR Sriram Srinivasan, Marc Lanctot, Vinícius Flores Zambaldi, Julien Pérolat, Karl Tuyls, Rémi Munos, Michael Bowling
2018	A*	`conf`	Distance-Based Multi-Robot Coordination on Pocket Drones. ICRA Bastian Broecker, Karl Tuyls, James Butterworth
2018	—	`conf`	Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. ICLR Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark
2018	J	`jnl`	Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input. CoRR Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark
2018	—	`conf`	Emergent Communication through Negotiation. ICLR (Poster) Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark
2018	J	`jnl`	Emergent Communication through Negotiation. CoRR Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z. Leibo, Karl Tuyls, Stephen Clark
2018	A	`conf`	Evolving Coverage Behaviours For MAVs Using NEAT. AAMAS James Butterworth, Bastian Broecker, Karl Tuyls, Paolo Paoletti
2018	J	`jnl`	Experience Selection in Deep Reinforcement Learning for Control. J. Mach. Learn. Res. Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska
2018	A	`conf`	Fast Convergence for Object Detection by Learning how to Combine Error Functions. IROS Benjamin Schnieders, Karl Tuyls
2018	J	`jnl`	Fast Convergence for Object Detection by Learning how to Combine Error Functions. CoRR Benjamin Schnieders, Karl Tuyls
2018	A*	`conf`	Inequity aversion improves cooperation in intertemporal social dilemmas. NeurIPS Edward Hughes, Joel Z. Leibo, Matthew Phillips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel
2018	J	`jnl`	Inequity aversion resolves intertemporal social dilemmas. CoRR Edward Hughes, Joel Z. Leibo, Matthew G. Philips, Karl Tuyls, Edgar A. Duéñez-Guzmán, Antonio García Castañeda, Iain Dunning, Tina Zhu, Kevin R. McKee, Raphael Koster, Heather Roff, Thore Graepel
2018	J	`jnl`	Integrating State Representation Learning Into Deep Reinforcement Learning. IEEE Robotics Autom. Lett. Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska
2018	A	`conf`	Lenient Multi-Agent Deep Reinforcement Learning. AAMAS Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani
2018	—	`conf`	Model-Based Reinforcement Learning under Periodical Observability. AAAI Spring Symposia Richard Klíma, Karl Tuyls, Frans A. Oliehoek
2018	J	`jnl`	Multi robot collision avoidance in a shared workspace. Auton. Robots Daniel Claes, Karl Tuyls
2018	J	`jnl`	Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. CoRR Gregory Palmer, Rahul Savani, Karl Tuyls
2018	C	`conf`	On the Role of Mobility and Interaction Topologies in Social Dilemmas. ALIFE Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2018	A*	`conf`	Re-evaluating evaluation. NeurIPS David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel
2018	J	`jnl`	Re-evaluating evaluation. CoRR David Balduzzi, Karl Tuyls, Julien Pérolat, Thore Graepel
2018	J	`jnl`	Relational Deep Reinforcement Learning. CoRR Vinícius 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
2018	J	`jnl`	Reports on the 2018 AAAI Spring Symposium Series. AI Mag. Christopher Amato, Haitham Bou-Ammar, Elizabeth F. Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, William F. Lawless, Francesca Rossi, Frans A. Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip van Allen, K. Brent Venable, Peter Vrancx, Shiqi Zhang
2018	J	`jnl`	SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes. CoRR Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue
2018	A	`conf`	SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. AAMAS Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng
2018	J	`jnl`	SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. CoRR Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen
2018	J	`jnl`	Space Debris Removal: Learning to Cooperate and the Price of Anarchy. Frontiers Robotics AI Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera, Dario Izzo
2018	A*	`conf`	The Mechanics of n-Player Differentiable Games. ICML David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2018	J	`jnl`	The Mechanics of n-Player Differentiable Games. CoRR David Balduzzi, Sébastien Racanière, James Martens, Jakob N. Foerster, Karl Tuyls, Thore Graepel
2018	A	`conf`	Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. AAMAS Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
2017	—	`conf`	A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. NIPS Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel
2017	J	`jnl`	A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning. CoRR Marc Lanctot, Vinícius Flores Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Pérolat, David Silver, Thore Graepel
2017	—	`conf`	A multi-agent reinforcement learning model of common-pool resource appropriation. NIPS Julien Pérolat, Joel Z. Leibo, Vinícius Flores Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel
2017	J	`jnl`	A multi-agent reinforcement learning model of common-pool resource appropriation. CoRR Julien Pérolat, Joel Z. Leibo, Vinícius Flores Zambaldi, Charles Beattie, Karl Tuyls, Thore Graepel
2017	A	`conf`	Decentralised Online Planning for Multi-Robot Warehouse Commissioning. AAMAS Daniel Claes, Frans A. Oliehoek, Hendrik Baier, Karl Tuyls
2017	J	`jnl`	Efficient Optical Flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. IEEE Robotics Autom. Lett. Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen
2017	J	`jnl`	Environmental effects on simulated emotional and moody agents. Knowl. Eng. Rev. Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2017	J	`jnl`	Lenient Multi-Agent Deep Reinforcement Learning. CoRR Gregory Palmer, Karl Tuyls, Daan Bloembergen, Rahul Savani
2017	—	`conf`	Mood modelling within reinforcement learning. ECAL Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2017	—	`conf`	Multiagent Learning Paradigms. EUMAS/AT Karl Tuyls, Peter Stone
2017	A	`conf`	NOctoSLAM: Fast octree surface normal mapping and registration. IROS Joscha-David Fossel, Karl Tuyls, Benjamin Schnieders, Daniel Claes, Daniel Hennes
2017	J	`jnl`	Symmetric Decomposition of Asymmetric Games. CoRR Karl Tuyls, Julien Pérolat, Marc Lanctot, Georg Ostrovski, Rahul Savani, Joel Z. Leibo, Toby Ord, Thore Graepel, Shane Legg
2017	J	`jnl`	Value-Decomposition Networks For Cooperative Multi-Agent Learning. CoRR Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
2016	C	`conf`	A Telepresence-Robot Approach for Efficient Coordination of Swarms. ALIFE Daan Bloembergen, Daniel Claes, Elisa Cucco, Sjriek Alers, Karl Tuyls
2016	—	`conf`	Bayesian Inference in Dynamic Domains using Logical OR Gates. ICEIS (2) Rik Claessens, Alta de Waal, Johan Pieter de Villiers, Ate Penders, Gregor Pavlin, Karl Tuyls
2016	J	`jnl`	Efficient Optical flow and Stereo Vision for Velocity Estimation and Obstacle Avoidance on an Autonomous Pocket Drone. CoRR Kimberly McGuire, Guido de Croon, Christophe De Wagter, Karl Tuyls, Hilbert J. Kappen
2016	J	`jnl`	Entity resolution in disjoint graphs: An application on genealogical data. Intell. Data Anal. Hossein Rahmani, Bijan Ranjbar Sahraei, Gerhard Weiss, Karl Tuyls
2016	A	`conf`	Improved deep reinforcement learning for robotics through distribution-based experience retention. IROS Tim de Bruin, Jens Kober, Karl Tuyls, Robert Babuska
2016	J	`jnl`	Local Histogram Matching for Efficient Optical Flow Computation Applied to Velocity Estimation on Pocket Drones. CoRR Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen
2016	A*	`conf`	Local histogram matching for efficient optical flow computation applied to velocity estimation on pocket drones. ICRA Kimberly McGuire, Guido C. H. E. de Croon, Christophe De Wagter, Bart Remes, Karl Tuyls, Hilbert J. Kappen
2016	—	`conf`	Modelling Mood in Co-operative Emotional Agents. DARS Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2016	J	`jnl`	On the prevalence of hierarchies in social networks. Soc. Netw. Anal. Min. Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2016	A	`ed.`	Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, Singapore, May 9-13, 2016 AAMAS Catholijn M. Jonker, Stacy Marsella, John Thangarajah, Karl Tuyls
2016	A	`conf`	Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes. ECAI Xiaohong Li, Chengwei Zhang, Jianye Hao, Karl Tuyls, Siqi Chen, Zhiyong Feng
2016	A	`conf`	Space Debris Removal: A Game Theoretic Analysis. ECAI Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
2016	J	`jnl`	Space Debris Removal: A Game Theoretic Analysis. Games Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
2016	—	`conf`	The Effect of Mobility and Emotion on Interactions in Multi-Agent Systems. STAIRS Joe Collenette, Katie Atkinson, Daan Bloembergen, Karl Tuyls
2015	A	`conf`	2D-SDF-SLAM: A signed distance function based SLAM frontend for laser scanners. IROS Joscha-David Fossel, Karl Tuyls, Jürgen Sturm
2015	A	`conf`	Effective Approximations for Multi-Robot Coordination in Spatially Distributed Tasks. AAMAS Daniel Claes, Philipp Robbel, Frans A. Oliehoek, Karl Tuyls, Daniel Hennes, Wiebe van der Hoek
2015	J	`jnl`	Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers
2015	J	`jnl`	Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognit. Lett. Decebal Constantin Mocanu, Haitham Bou-Ammar, Dietwig Lowet, Kurt Driessens, Antonio Liotta, Gerhard Weiss, Karl Tuyls
2015	—	`conf`	HiDER: Query-Driven Entity Resolution for Historical Data. ECML/PKDD (3) Bijan Ranjbar Sahraei, Julia Efremova, Hossein Rahmani, Toon Calders, Karl Tuyls, Gerhard Weiss
2015	—	`conf`	Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments. TAROS Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth I. Sklar, Daniel Hennes
2015	J	`jnl`	Metastrategies in Large-Scale Bargaining Settings. ACM Trans. Intell. Syst. Technol. Daniel Hennes, Steven de Jong, Karl Tuyls, Ya'akov (Kobi) Gal
2015	A	`conf`	Multi-Agent Target Tracking using Particle Filters enhanced with Context Data: (Demonstration). AAMAS Rik Claessens, Alta de Waal, Johan Pieter de Villiers, Ate Penders, Gregor Pavlin, Karl Tuyls
2015	—	`ch.`	Multi-Source Entity Resolution for Genealogical Data. Population Reconstruction Julia Efremova, Bijan Ranjbar Sahraei, Hossein Rahmani, Frans A. Oliehoek, Toon Calders, Karl Tuyls, Gerhard Weiss
2015	B	`conf`	On the Skewed Degree Distribution of Hierarchical Networks. ASONAM Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2015	A	`conf`	Social Insect-Inspired Multi-Robot Coverage. AAMAS Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth Sklar, Daniel Hennes
2015	A	`conf`	Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading. AAMAS Daan Bloembergen, Daniel Hennes, Simon Parsons, Karl Tuyls
2015	—	`ed.`	Towards Autonomous Robotic Systems - 16th Annual Conference, TAROS 2015, Liverpool, UK, September 8-10, 2015, Proceedings TAROS Clare Dixon, Karl Tuyls
2015	—	`conf`	Towards a methodology for describing the relationship between simulation and reality. ECAL Eric Schneider, Elizabeth I. Sklar, M. Q. Azhar, Simon Parsons, Karl Tuyls
2015	J	`jnl`	Trading in markets with noisy information: an evolutionary analysis. Connect. Sci. Daan Bloembergen, Daniel Hennes, Peter McBurney, Karl Tuyls
2014	J	`jnl`	A decentralized approach for convention emergence in multi-agent systems. Auton. Agents Multi Agent Syst. Mihail Mihaylov, Karl Tuyls, Ann Nowé
2014	A	`conf`	Applied robotics: precision placement in RoboCup@Work. AAMAS Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls
2014	J	`jnl`	Automated Transfer for Reinforcement Learning Tasks. Künstliche Intell. Haitham Bou-Ammar, Siqi Chen, Karl Tuyls, Gerhard Weiss
2014	A	`conf`	Biologically inspired multi-robot foraging. AAMAS Sjriek Alers, Daniel Claes, Karl Tuyls, Gerhard Weiss
2014	—	`conf`	Contextual Entity Resolution Approach for Genealogical Data. LWA Hossein Rahmani, Bijan Ranjbar Sahraei, Gerhard Weiss, Karl Tuyls
2014	C	`conf`	Effects of Evolution on the Emergence of Scale Free Networks. ALIFE Bijan Ranjbar Sahraei, Dean Bloembergen, Haitham Ammar, Karl Tuyls, Gerhard Weiss
2014	Misc	`conf`	Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory. KI Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung
2014	A	`conf`	Evolution of cooperation in arbitrary complex networks. AAMAS Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss
2014	—	`conf`	Human Robot-Team Interaction - Towards the Factory of the Future. ALIA Daniel Claes, Karl Tuyls
2014	A	`conf`	Influencing Social Networks: An Optimal Control Study. ECAI Daan Bloembergen, Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2014	C	`conf`	Insect-Inspired Robot Coordination: Foraging and Coverage. ALIFE Sjriek Alers, Karl Tuyls, Bijan Ranjbar Sahraei, Daniel Claes, Gerhard Weiss
2014	—	`conf`	Learning in Networked Interactions: A Replicator Dynamics Approach. ALIA Daan Bloembergen, Ipek Caliskanelli, Karl Tuyls
2014	J	`jnl`	Learning to Reach Agreement in a Continuous Ultimatum Game. CoRR Steven de Jong, Simon Uyttendaele, Karl Tuyls
2014	—	`conf`	Multi-Robot Coverage: A Bee Pheromone Signalling Approach. ALIA Ipek Caliskanelli, Bastian Broecker, Karl Tuyls
2014	—	`conf`	Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games. MATES Jianye Hao, Siqi Chen, Gerhard Weiss, Ho-fung Leung, Karl Tuyls
2014	A	`conf`	Spatial evolutionary game-theoretic perspective on agent-based complex negotiations. ECAI Siqi Chen, Jianye Hao, Gerhard Weiss, Karl Tuyls, Ho-fung Leung
2014	A*	`conf`	Theory of Cooperation in Complex Social Networks. AAAI Bijan Ranjbar Sahraei, Haitham Bou-Ammar, Daan Bloembergen, Karl Tuyls, Gerhard Weiss
2014	J	`jnl`	Transfer for Automated Negotiation. Künstliche Intell. Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2014	—	`conf`	Using Transfer Learning to Model Unknown Opponents in Automated Negotiations. ANAC@AAMAS Siqi Chen, Shuang Zhou, Gerhard Weiss, Karl Tuyls
2014	C	`conf`	Winning the RoboCup@Work 2014 Competition: The smARTLab Approach. RoboCup Bastian Broecker, Daniel Claes, Joscha-David Fossel, Karl Tuyls
2013	A	`conf`	A macroscopic model for multi-robot stigmergic coverage. AAMAS Bijan Ranjbar Sahraei, Gerhard Weiss, Karl Tuyls
2013	—	`conf`	Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. ECML/PKDD (2) Haitham Bou-Ammar, Decebal Constantin Mocanu, Matthew E. Taylor, Kurt Driessens, Karl Tuyls, Gerhard Weiss
2013	A*	`conf`	Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains. IJCAI Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2013	—	`conf`	Development of an Autonomous RC-car. ICIRA (2) Daniel Claes, Joscha-David Fossel, Bastian Broecker, Daniel Hennes, Karl Tuyls
2013	—	`conf`	Evaluation of an Experimental Framework for Exploiting Vision in Swarm Robotics. ECAL Sjriek Alers, Bijan Ranjbar Sahraei, Stefan May, Karl Tuyls, Gerhard Weiss
2013	C	`conf`	How to Win RoboCup@Work? - The Swarmlab@Work Approach Revealed. RoboCup Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls, Gerhard Weiss
2013	A	`conf`	OctoSLAM: a 3D mapping approach to situational awareness of unmanned aerial vehicles. AAMAS Joscha-David Fossel, Daniel Hennes, Sjriek Alers, Daniel Claes, Karl Tuyls
2013	A	`conf`	Optimizing complex automated negotiation using sparse pseudo-input gaussian processes. AAMAS Siqi Chen, Haitham Bou-Ammar, Karl Tuyls, Gerhard Weiss
2013	—	`conf`	Stackelberg-based Coverage Approach in Nonconvex Environments. ECAL Bijan Ranjbar Sahraei, Katerina Stankova, Karl Tuyls, Gerhard Weiss
2013	A	`conf`	StiCo in action. AAMAS Bijan Ranjbar Sahraei, Sjriek Alers, Karl Tuyls, Gerhard Weiss
2013	—	`conf`	Swarm-based evaluation of nonparametric SysML mechatronics system design. ICM Mohammad Chami, Haitham Bou-Ammar, Holger Voos, Karl Tuyls, Gerhard Weiss
2013	—	`conf`	Telepresence Robots as a Research Platform for AI. AAAI Spring Symposium: Designing Intelligent Robots Sjriek Alers, Daan Bloembergen, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls
2012	A	`conf`	A common gradient in multi-agent reinforcement learning. AAMAS Michael Kaisers, Daan Bloembergen, Karl Tuyls
2012	A	`conf`	CALU: collision avoidance with localization uncertainty (demonstration). AAMAS Daniel Claes, Daniel Hennes, Wim Meeussen, Karl Tuyls
2012	A	`conf`	Collision avoidance under bounded localization uncertainty. IROS Daniel Claes, Daniel Hennes, Karl Tuyls, Wim Meeussen
2012	J	`jnl`	Decentralised reinforcement learning for energy-efficient scheduling in wireless sensor networks. Int. J. Commun. Networks Distributed Syst. Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2012	—	`conf`	Evolutionary Dynamics of Ant Colony Optimization. MATES Haitham Bou-Ammar, Karl Tuyls, Michael Kaisers
2012	A	`conf`	Evolutionary advantage of foresight in markets. GECCO Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons
2012	A	`conf`	MITRO: an augmented mobile telepresence robot with assisted control (demonstration). AAMAS Sjriek Alers, Daan Bloembergen, Max Bügler, Daniel Hennes, Karl Tuyls
2012	C	`ed.`	Multi-Agent Systems - 9th European Workshop, EUMAS 2011, Maastricht, The Netherlands, November 14-15, 2011. Revised Selected Papers EUMAS Massimo Cossentino, Michael Kaisers, Karl Tuyls, Gerhard Weiss
2012	A	`conf`	Multi-robot collision avoidance with localization uncertainty. AAMAS Daniel Hennes, Daniel Claes, Wim Meeussen, Karl Tuyls
2012	J	`jnl`	Multiagent Learning: Basics, Challenges, and Prospects. AI Mag. Karl Tuyls, Gerhard Weiss
2012	J	`jnl`	Preface for the special issue on Games and AI. Entertain. Comput. Mark H. M. Winands, Yngvi Björnsson, Karl Tuyls
2012	A	`conf`	Reinforcement learning transfer via sparse coding. AAMAS Haitham Bou-Ammar, Karl Tuyls, Matthew E. Taylor, Kurt Driessens, Gerhard Weiss
2012	J	`jnl`	Stigmergic Landmark Optimization. Adv. Complex Syst. Nyree Lemmens, Karl Tuyls
2012	—	`conf`	Using Time as a Strategic Element in Continuous Double Auctions. MATES Marcel Neumann, Karl Tuyls, Michael Kaisers
2011	A	`conf`	Bee-inspired foraging in an embodied swarm. AAMAS Sjriek Alers, Daan Bloembergen, Daniel Hennes, Steven de Jong, Michael Kaisers, Nyree Lemmens, Karl Tuyls, Gerhard Weiss
2011	A	`conf`	Distributed cooperation in wireless sensor networks. AAMAS Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2011	A	`conf`	Empirical and theoretical support for lenient learning. AAMAS Daan Bloembergen, Michael Kaisers, Karl Tuyls
2011	—	`conf`	FAQ-Learning in Matrix Games: Demonstrating Convergence Near Nash Equilibria, and Bifurcation of Attractors in the Battle of Sexes. Interactive Decision Theory and Game Theory Michael Kaisers, Karl Tuyls
2011	J	`jnl`	Human-inspired computational fairness. Auton. Agents Multi Agent Syst. Steven de Jong, Karl Tuyls
2011	A	`conf`	Metastrategies in the Colored Trails game. AAMAS Steven de Jong, Daniel Hennes, Karl Tuyls, Ya'akov (Kobi) Gal
2011	C	`conf`	Multi-agent Learning and the Reinforcement Gradient. EUMAS Michael Kaisers, Daan Bloembergen, Karl Tuyls
2011	C	`conf`	Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping. EUMAS Haitham Bou-Ammar, Matthew E. Taylor, Karl Tuyls, Gerhard Weiss
2011	—	`conf`	Reinforcement Learning for Self-organizing Wake-Up Scheduling in Wireless Sensor Networks. ICAART (Revised Selected Papers) Mihail Mihaylov, Yann-Aël Le Borgne, Karl Tuyls, Ann Nowé
2011	—	`conf`	Self-organizing Synchronicity and Desynchronicity using Reinforcement Learning. ICAART (2) Mihail Mihaylov, Yann-Aël Le Borgne, Ann Nowé, Karl Tuyls
2010	—	`ed.`	Adaptive and Learning Agents, Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009, Revised Selected Papers ALA Matthew E. Taylor, Karl Tuyls
2010	—	`conf`	Evolutionary Dynamics of Regret Minimization. ECML/PKDD (2) Tomas Klos, Gerrit Jan van Ahee, Karl Tuyls
2010	A	`conf`	Frequency adjusted multi-agent Q-learning. AAMAS Michael Kaisers, Karl Tuyls
2010	—	`ch.`	Learning with Whom to Communicate Using Relational Reinforcement Learning. Interactive Collaborative Information Systems Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens, H. Jaap van den Herik, Eric O. Postma
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2010	A	`conf`	Stigmergic landmark routing: a routing algorithm for wireless mobile ad-hoc networks. GECCO Nyree Lemmens, Karl Tuyls
2009	—	`conf`	Abstraction and Generalization in Reinforcement Learning: A Summary and Framework. ALA Marc J. V. Ponsen, Matthew E. Taylor, Karl Tuyls
2009	J	`jnl`	An evolutionary game-theoretic analysis of poker strategies. Entertain. Comput. Marc J. V. Ponsen, Karl Tuyls, Michael Kaisers, Jan Ramon
2009	—	`conf`	An evolutionary model of multi-agent learning with a varying exploration rate. AAMAS (2) Michael Kaisers, Karl Tuyls, Simon Parsons, Frank Thuijsman
2009	—	`conf`	Decentralized Learning in Wireless Sensor Networks. ALA Mihail Mihaylov, Karl Tuyls, Ann Nowé
2009	—	`conf`	Learning to cooperate in a continuous tragedy of the commons. AAMAS (2) Steven de Jong, Karl Tuyls
2009	—	`conf`	Learning with whom to communicate using relational reinforcement learning. AAMAS (2) Marc J. V. Ponsen, Tom Croonenborghs, Karl Tuyls, Jan Ramon, Kurt Driessens
2009	—	`conf`	Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach. ALA Michael Kaisers, Karl Tuyls
2009	—	`ch.`	Replicator Dynamics in Discrete and Continuous Strategy Spaces. Multi-Agent Systems Ronald L. Westra, Karl Tuyls
2009	—	`conf`	State-coupled replicator dynamics. AAMAS (2) Daniel Hennes, Karl Tuyls, Matthias Rauterberg
2009	—	`conf`	Stigmergic landmark foraging. AAMAS (1) Nyree Lemmens, Karl Tuyls
2008	—	`ed.`	Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems, Revised Selected Papers Adaptive Agents and Multi-Agent Systems Karl Tuyls, Ann Nowé, Zahia Guessoum, Daniel Kudenko
2008	—	`conf`	Artificial agents learning human fairness. AAMAS (2) Steven de Jong, Karl Tuyls, Katja Verbeeck
2008	—	`conf`	Auction Analysis by Normal Form Game Approximation. IAT Michael Kaisers, Karl Tuyls, Frank Thuijsman, Simon Parsons
2008	A*	`conf`	Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker. AAAI Marc J. V. Ponsen, Jan Ramon, Tom Croonenborghs, Kurt Driessens, Karl Tuyls
2008	—	`ch.`	Belief Networks for Bioinformatics. Computational Intelligence in Bioinformatics H. H. L. M. Donkers, Karl Tuyls
2008	—	`conf`	Entertainment Computing in the Orbit. ECS Matthias Rauterberg, Mark A. Neerincx, Karl Tuyls, Jack van Loon
2008	J	`jnl`	EvOL-Neuron: Neuronal morphology generation. Neurocomputing Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
2008	J	`jnl`	Fairness in multi-agent systems. Knowl. Eng. Rev. Steven de Jong, Karl Tuyls, Katja Verbeeck
2008	—	`conf`	Formalizing Multi-state Learning Dynamics. IAT Daniel Hennes, Karl Tuyls, Matthias Rauterberg
2008	—	`ch.`	Introduction to Game Theory. Wiley Encyclopedia of Computer Science and Engineering Karl Tuyls, Ann Nowé
2008	J	`jnl`	Learning to Reach Agreement in a Continuous Ultimatum Game. J. Artif. Intell. Res. Steven de Jong, Simon Uyttendaele, Karl Tuyls
2008	J	`jnl`	Privacy Preserving ID3 over Horizontally, Vertically and Grid Partitioned Data CoRR Bart Kuijpers, Vanessa Lemmens, Bart Moelans, Karl Tuyls
2008	—	`conf`	Switching dynamics of multi-agent learning. AAMAS (1) Peter Vrancx, Karl Tuyls, Ronald L. Westra
2008	J	`jnl`	Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective. J. Mach. Learn. Res. Liviu Panait, Karl Tuyls, Sean Luke
2007	—	`conf`	Bee Behaviour in Multi-agent Systems. Adaptive Agents and Multi-Agents Systems Nyree Lemmens, Steven de Jong, Karl Tuyls, Ann Nowé
2007	J	`jnl`	Exploring selfish reinforcement learning in repeated games with stochastic rewards. Auton. Agents Multi Agent Syst. Katja Verbeeck, Ann Nowé, Johan Parent, Karl Tuyls
2007	—	`ed.`	Knowledge Discovery and Emergent Complexity in Bioinformatics, First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006. Revised Selected Papers KDECB Karl Tuyls, Ronald L. Westra, Yvan Saeys, Ann Nowé
2007	—	`conf`	Multi-agent Learning Dynamics: A Survey. CIA H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck
2007	—	`conf`	On Phase Transitions in Learning Sparse Networks. ECML Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ronald L. Westra, Karl Tuyls
2007	—	`conf`	Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems. Adaptive Agents and Multi-Agents Systems Steven de Jong, Karl Tuyls, Katja Verbeeck, Nico Roos
2007	J	`jnl`	The pattern memory of gene-protein networks. AI Commun. Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls
2007	A	`conf`	Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective. AAMAS Liviu Panait, Karl Tuyls
2007	J	`jnl`	What evolutionary game theory tells us about multiagent learning. Artif. Intell. Karl Tuyls, Simon Parsons
2006	J	`jnl`	An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games. Auton. Agents Multi Agent Syst. Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinkel
2006	A*	`conf`	Inference of Concise DTDs from XML Data. VLDB Geert Jan Bex, Frank Neven, Thomas Schwentick, Karl Tuyls
2006	—	`conf`	Knowledge Discovery and Emergent Complexity in Bioinformatics. KDECB Ronald L. Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
2006	—	`ed.`	Learning and Adaption in Multi-Agent Systems, First International Workshop, LAMAS 2005, Utrecht, The Netherlands, July 25, 2005, Revised Selected Papers LAMAS Karl Tuyls, Pieter Jan't Hoen, Katja Verbeeck, Sandip Sen
2006	—	`conf`	On the Neuronal Morphology-Function Relationship: A Synthetic Approach. KDECB Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
2006	—	`conf`	Robust and Scalable Coordination of Potential-Field Driven Agents. CIMCA/IAWTIC Steven de Jong, Karl Tuyls, Ida G. Sprinkhuizen-Kuyper
2006	B	`conf`	Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method. IJCNN Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
2006	—	`conf`	The Identification of Dynamic Gene-Protein Networks. KDECB Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls
2005	—	`conf`	An Overview of Cooperative and Competitive Multiagent Learning. LAMAS Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean Luke, Johannes A. La Poutré
2005	—	`ed.`	BNAIC 2005 - Proceedings of the Seventeenth Belgium-Netherlands Conference on Artificial Intelligence, Brussels, Belgium, October 17-18, 2005 BNAIC Katja Verbeeck, Karl Tuyls, Ann Nowé, Bernard Manderick, Bart Kuijpers
2005	A	`conf`	Coordinated exploration in multi-agent reinforcement learning: an application to load-balancing. AAMAS Katja Verbeeck, Ann Nowé, Karl Tuyls
2005	C	`ed.`	EUMAS 2005 - Proceedings of the Third European Workshop on Multi-Agent Systems, Brussels, Belgium, December 7-8, 2005 EUMAS Marie-Pierre Gleizes, Gal A. Kaminka, Ann Nowé, Sascha Ossowski, Karl Tuyls, Katja Verbeeck
2005	J	`jnl`	Evolutionary game theory and multi-agent reinforcement learning. Knowl. Eng. Rev. Karl Tuyls, Ann Nowé
2005	—	`conf`	Multi-agent Reinforcement Learning in Stochastic Single and Multi-stage Games. Adaptive Agents and Multi-Agent Systems Katja Verbeeck, Ann Nowé, Maarten Peeters, Karl Tuyls
2005	—	`conf`	Multi-agent Relational Reinforcement Learning. LAMAS Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice Bruynooghe
2005	C	`conf`	Privacy in Multi-Agent Learning: Securely Inducing a Multi-Agent Decision Tree. EUMAS Karl Tuyls, Bart Kuijpers
2005	—	`conf`	Towards a Common Lexicon in The Naming Game: The Dynamics of Synonymy Reduction. BNAIC Bart De Vylder, Karl Tuyls
2004	J	`jnl`	An Evolutionary Game Theoretic Perspective on Learning in Multi-Agent Systems. Synth. Karl Tuyls, Ann Nowé, Tom Lenaerts, Bernard Manderick
2004	—	`conf`	Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics. ECML Pieter Jan't Hoen, Karl Tuyls
2003	A	`conf`	A selection-mutation model for q-learning in multi-agent systems. AAMAS Karl Tuyls, Katja Verbeeck, Tom Lenaerts
2003	—	`conf`	Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems. ECML Karl Tuyls, Dries Heytens, Ann Nowé, Bernard Manderick
2003	—	`conf`	On a Dynamical Analysis of Reinforcement Learning in Games: Emergence of Occam's Razor. CEEMAS Karl Tuyls, Katja Verbeeck, Sam Maes
2002	C	`conf`	Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information. ICMLA Karl Tuyls, Sam Maes, Bernard Manderick
2002	C	`conf`	Reinforcement Learning in Large State Spaces. RoboCup Karl Tuyls, Sam Maes, Bernard Manderick