Publications

This will be updated soon, but a good overview can already be found at my DBLP page: https://dblp.org/pers/hd/t/Tuyls:Karl

219 entries « 1 of 9 »

2020

Czarnecki, Wojciech Marian; Gidel, Gauthier; Tracey, Brendan; Tuyls, Karl; Omidshafiei, Shayegan; Balduzzi, David; Jaderberg, Max

Real World Games Look Like Spinning Tops Journal Article

CoRR, abs/2004.09468 , 2020.

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Hennes, Daniel; Morrill, Dustin; Omidshafiei, Shayegan; Munos, Remi; Perolat, Julien; Lanctot, Marc; Gruslys, Audrunas; Lespiau, Jean-Baptiste; Parmas, Paavo; -, Edgar Dué{ñ}ez; Tuyls, Karl

Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients Inproceedings

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 2020, pp. 492–501, 2020.

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Tuyls, Karl; Perolat, Julien; Lanctot, Marc; Hughes, Edward; Everett, Richard; Leibo, Joel Z; Szepesvari, Csaba; Graepel, Thore

Bounds and dynamics for empirical game theoretic analysis Journal Article

Auton. Agents Multi Agent Syst., 34 (1), pp. 7, 2020.

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Muller, Paul; Omidshafiei, Shayegan; Rowland, Mark; Tuyls, Karl; Perolat, Julien; Liu, Siqi; Hennes, Daniel; Marris, Luke; Lanctot, Marc; Hughes, Edward; Wang, Zhe; Lever, Guy; Heess, Nicolas; Graepel, Thore; Munos, Remi

A Generalized Training Approach for Multiagent Learning Inproceedings

8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020.

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Omidshafiei, Shayegan; Tuyls, Karl; Czarnecki, Wojciech M; Santos, Francisco C; Rowland, Mark; Connor, Jerome; Hennes, Daniel; Muller, Paul; Perolat, Julien; Vylder, Bart De; Gruslys, Audrunas; Munos, Remi

Navigating the Landscape of Games Journal Article

CoRR, abs/2005.01642 , 2020.

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Palmer, Gregory; Schnieders, Benjamin; Savani, Rahul; Tuyls, Karl; Fossel, Joscha; Flore, Harry

The Automated Inspection of Opaque Liquid Vaccines Journal Article

CoRR, abs/2002.09406 , 2020.

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2019

Zhang, Chengwei; Li, Xiaohong; Hao, Jianye; Chen, Siqi; Tuyls, Karl; Xue, Wanli; Feng, Zhiyong

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes Journal Article

Auton. Agents Multi Agent Syst., 33 (4), pp. 403–429, 2019.

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Sahraei, Bijan Ranjbar; Rahmani, Hossein; Weiss, Gerhard; Tuyls, Karl

Distant supervision of relation extraction in sparse data Journal Article

Intell. Data Anal., 23 (5), pp. 1145–1166, 2019.

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McGuire, Kimberly N; de Croon, G C H E; Tuyls, Karl

A comparative study of bug algorithms for robot navigation Journal Article

Robotics Auton. Syst., 121 , 2019.

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McGuire, Kimberly; Wagter, Christophe De; Tuyls, Karl; Kappen, H J; de Croon, Guido C H E

Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment Journal Article

Sci. Robotics, 4 (35), 2019.

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Palmer, Gregory; Savani, Rahul; Tuyls, Karl

Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Inproceedings

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp. 43–51, 2019.

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í, Richard Kl; Bloembergen, Daan; Kaisers, Michael; Tuyls, Karl

Robust Temporal Difference Learning for Critical Domains Inproceedings

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp. 350–358, 2019.

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Schnieders, Benjamin; Luo, Shan; Palmer, Gregory; Tuyls, Karl

Fully Convolutional One-Shot Object Segmentation for Industrial Robotics Inproceedings

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp. 1161–1169, 2019.

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Collenette, Joe; Atkinson, Katie; Bloembergen, Daan; Tuyls, Karl

Stability of Human-Inspired Agent Societies Inproceedings

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019, pp. 1889–1891, 2019.

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Butterworth, James; Savani, Rahul; Tuyls, Karl

Evolving indoor navigational strategies using gated recurrent units in NEAT Inproceedings

Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, pp. 111–112, 2019.

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Rowland, Mark; Omidshafiei, Shayegan; Tuyls, Karl; é, Julien P; Valko, Michal; Piliouras, Georgios; é, R

Multiagent Evaluation under Incomplete Information Inproceedings

Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada, pp. 12270–12282, 2019.

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í, Richard Kl; Bloembergen, Daan; Kaisers, Michael; Tuyls, Karl

Robust temporal difference learning for critical domains Journal Article

CoRR, abs/1901.08021 , 2019.

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Schnieders, Benjamin; Luo, Shan; Palmer, Gregory; Tuyls, Karl

Fully Convolutional One-Shot Object Segmentation for Industrial Robotics Journal Article

CoRR, abs/1903.00683 , 2019.

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Lockhart, Edward; Lanctot, Marc; é, Julien P; -, Jean; Morrill, Dustin; Timbers, Finbarr; Tuyls, Karl

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Journal Article

CoRR, abs/1903.05614 , 2019.

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Butterworth, James; Savani, Rahul; Tuyls, Karl

Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT Journal Article

CoRR, abs/1904.06239 , 2019.

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Letcher, Alistair; Balduzzi, David; è, Sébastien Racani; Martens, James; Foerster, Jakob N; Tuyls, Karl; Graepel, Thore

Differentiable Game Mechanics Journal Article

CoRR, abs/1905.04926 , 2019.

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Omidshafiei, Shayegan; Hennes, Daniel; Morrill, Dustin; é, R; é, Julien P; Lanctot, Marc; Gruslys, Audrunas; -, Jean; Tuyls, Karl

Neural Replicator Dynamics Journal Article

CoRR, abs/1906.00190 , 2019.

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Lanctot, Marc; Lockhart, Edward; -, Jean; í, Vin; Upadhyay, Satyaki; é, Julien P; Srinivasan, Sriram; Timbers, Finbarr; Tuyls, Karl; Omidshafiei, Shayegan; Hennes, Daniel; Morrill, Dustin; Muller, Paul; Ewalds, Timo; Faulkner, Ryan; á, János Kram; Vylder, Bart De; Saeta, Brennan; Bradbury, James; Ding, David; Borgeaud, Sebastian; Lai, Matthew; Schrittwieser, Julian; Anthony, Thomas W; Hughes, Edward; Danihelka, Ivo; -, Jonah Ryan

OpenSpiel: A Framework for Reinforcement Learning in Games Journal Article

CoRR, abs/1908.09453 , 2019.

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Rowland, Mark; Omidshafiei, Shayegan; Tuyls, Karl; é, Julien P; Valko, Michal; Piliouras, Georgios; é, R

Multiagent Evaluation under Incomplete Information Journal Article

CoRR, abs/1909.09849 , 2019.

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Muller, Paul; Omidshafiei, Shayegan; Rowland, Mark; Tuyls, Karl; é, Julien P; Liu, Siqi; Hennes, Daniel; Marris, Luke; Lanctot, Marc; Hughes, Edward; Wang, Zhe; Lever, Guy; Heess, Nicolas; Graepel, Thore; é, R

A Generalized Training Approach for Multiagent Learning Journal Article

CoRR, abs/1909.12823 , 2019.

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219 entries « 1 of 9 »

Tutorial material

The combined DeepMind slide decks we used for our ICML 2018 and ACAI 2019 tutorials on multi-agent learning can be downloaded here