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Daniel Hennes

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affiliation: University of Stuttgart, Institute for Parallel and Distributed Systems, Germany
affiliation: DFKI, Robotics Innovation Center, Bremen, Germany
affiliation: European Space Agency, Noordwijk, The Netherlands

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Journal Articles

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2022
[j12]
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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:
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022)
[j11]
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Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls:
Evolutionary Dynamics and Phi-Regret Minimization in Games. J. Artif. Intell. Res. 74: 1125-1158 (2022)
[j10]
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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:
From motor control to team play in simulated humanoid football. Sci. Robotics 7(69) (2022)
2021
[j9]
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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:
Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 71: 41-88 (2021)
2019
[j8]
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Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint:
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation. IEEE Robotics Autom. Lett. 4(4): 4042-4047 (2019)
2016
[j7]
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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)
2015
[j6]
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Sam Devlin, Daniel Hennes, Samuel Barrett:
Preface to the special issue: Adaptive Learning Agents Part 3. Connect. Sci. 27(3): 213-214 (2015)
[j5]
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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)
[j4]
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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)
[j3]
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Daniel Hennes, Steven de Jong, Karl Tuyls, Ya'akov (Kobi) Gal:
Metastrategies in Large-Scale Bargaining Settings. ACM Trans. Intell. Syst. Technol. 7(1): 10:1-10:23 (2015)
2014
[j2]
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Sam Devlin, Daniel Hennes, Enda Howley:
Preface to the special issue: Adaptive Learning Agents, Part 1. Connect. Sci. 26(1): 5-6 (2014)
[j1]
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Sam Devlin, Daniel Hennes, Enda Howley:
Preface to the special issue: Adaptive Learning Agents Part 2. Connect. Sci. 26(2): 101-102 (2014)

Conference and Workshop Papers

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2024
[c38]
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Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach:
Approximating the Core via Iterative Coalition Sampling. AAMAS 2024: 669-678
2023
[c37]
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Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller:
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS 2023: 2445-2447
2022
[c36]
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  - conf/iclr/LiuMHMHG22
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Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel:
NeuPL: Neural Population Learning. ICLR 2022
2021
[c35]
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Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins:
Which priors matter? Benchmarking models for learning latent dynamics. NeurIPS Datasets and Benchmarks 2021
2020
[c34]
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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:
Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. AAMAS 2020: 492-501
[c33]
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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:
A Generalized Training Approach for Multiagent Learning. ICLR 2020
[c32]
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  - conf/icml/MunosPLRVLTHOGA20
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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:
Fast computation of Nash Equilibria in Imperfect Information Games. ICML 2020: 7119-7129
2019
[c31]
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  - conf/icra/DriessHT19
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Danny Drieß, Daniel Hennes, Marc Toussaint:
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA 2019: 7844-7850
2018
[c30]
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Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt:
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. ICRA 2018: 6461-6468
2017
[c29]
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  - conf/icra/Hidalgo-CarrioH17
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Javier Hidalgo-Carrióo, Daniel Hennes, Jakob Schwendner, Frank Kirchner:
Gaussian process estimation of odometry errors for localization and mapping. ICRA 2017: 5696-5701
[c28]
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  - conf/iros/FosselTSCH17
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Joscha-David Fossel, Karl Tuyls, Benjamin Schnieders, Daniel Claes, Daniel Hennes:
NOctoSLAM: Fast octree surface normal mapping and registration. IROS 2017: 6764-6769
2016
[c27]
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  - conf/ecai/KlimaBSTHI16
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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
[c26]
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  - conf/ssci/HennesIL16
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Daniel Hennes, Dario Izzo, Damon Landau:
Fast approximators for optimal low-thrust hops between main belt asteroids. SSCI 2016: 1-7
[c25]
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  - conf/ssci/Sanchez-Sanchez16
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Carlos Sánchez-Sánchez, Dario Izzo, Daniel Hennes:
Learning the optimal state-feedback using deep networks. SSCI 2016: 1-8
2015
[c24]
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  - conf/atal/ClaesROTHH15
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Daniel Claes, Philipp Robbel, Frans A. Oliehoek, Karl Tuyls, Daniel Hennes, Wiebe van der Hoek:
Effective Approximations for Multi-Robot Coordination in Spatially Distributed Tasks. AAMAS 2015: 881-890
[c23]
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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
[c22]
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  - conf/atal/BroeckerCTSH15
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Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth Sklar, Daniel Hennes:
Social Insect-Inspired Multi-Robot Coverage. AAMAS 2015: 1775-1776
[c21]
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  - conf/gecco/MethenitisHIV15
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Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser:
Novelty Search for Soft Robotic Space Exploration. GECCO 2015: 193-200
[c20]
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  - conf/gecco/NowakIH15
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Krzysztof Nowak, Dario Izzo, Daniel Hennes:
Injection, Saturation and Feedback in Meta-Heuristic Interactions. GECCO 2015: 1167-1174
[c19]
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  - conf/gecco/IzzoGHS15
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Dario Izzo, Ingmar Getzner, Daniel Hennes, Luís Felismino Simões:
Evolving Solutions to TSP Variants for Active Space Debris Removal. GECCO 2015: 1207-1214
[c18]
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Daniel Hennes, Dario Izzo:
Interplanetary Trajectory Planning with Monte Carlo Tree Search. IJCAI 2015: 769-775
[c17]
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  - conf/taros/BroeckerCTSH15
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Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth I. Sklar, Daniel Hennes:
Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments. TAROS 2015: 56-68
2014
[c16]
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  - conf/atal/AlersCFHT14
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Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls:
Applied robotics: precision placement in RoboCup@Work. AAMAS 2014: 1681-1682
2013
[c15]
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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
[c14]
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Joscha-David Fossel, Daniel Hennes, Sjriek Alers, Daniel Claes, Karl Tuyls:
OctoSLAM: a 3D mapping approach to situational awareness of unmanned aerial vehicles. AAMAS 2013: 1363-1364
[c13]
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  - conf/icira/ClaesFBHT13
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Daniel Claes, Joscha-David Fossel, Bastian Broecker, Daniel Hennes, Karl Tuyls:
Development of an Autonomous RC-car. ICIRA (2) 2013: 108-120
[c12]
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  - conf/robocup/AlersCFHTW13
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Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls, Gerhard Weiss:
How to Win RoboCup@Work? - The Swarmlab@Work Approach Revealed. RoboCup 2013: 147-158
2012
[c11]
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  - conf/aamas/HennesCMT12
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Daniel Hennes, Daniel Claes, Wim Meeussen, Karl Tuyls:
Multi-robot collision avoidance with localization uncertainty. AAMAS 2012: 147-154
[c10]
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  - conf/aamas/AlersBBHT12
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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
[c9]
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Daniel Claes, Daniel Hennes, Wim Meeussen, Karl Tuyls:
CALU: collision avoidance with localization uncertainty (demonstration). AAMAS 2012: 1495-1496
[c8]
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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
[c7]
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  - conf/iros/ClaesHTM12
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Daniel Claes, Daniel Hennes, Karl Tuyls, Wim Meeussen:
Collision avoidance under bounded localization uncertainty. IROS 2012: 1192-1198
2011
[c6]
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  - conf/atal/JongHTG11
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Steven de Jong, Daniel Hennes, Karl Tuyls, Ya'akov (Kobi) Gal:
Metastrategies in the Colored Trails game. AAMAS 2011: 551-558
[c5]
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  - conf/atal/AlersBHJKLTW11
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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
[c4]
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  - conf/iros/WurmHHRSKB11
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Kai M. Wurm, Daniel Hennes, Dirk Holz, Radu Bogdan Rusu, Cyrill Stachniss, Kurt Konolige, Wolfram Burgard:
Hierarchies of octrees for efficient 3D mapping. IROS 2011: 4249-4255
2009
[c3]
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  - conf/atal/HennesTR09
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Daniel Hennes, Karl Tuyls, Matthias Rauterberg:
State-coupled replicator dynamics. AAMAS (2) 2009: 789-796
2008
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  - conf/iat/HennesTR08
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Daniel Hennes, Karl Tuyls, Matthias Rauterberg:
Formalizing Multi-state Learning Dynamics. IAT 2008: 266-272
2007
[c1]
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  - conf/cia/HerikHKTV07
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  - https://dblp.org/rec/conf/cia/HerikHKTV07
H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck:
Multi-agent Learning Dynamics: A Survey. CIA 2007: 36-56

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2024
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  - journals/corr/abs-2402-03928
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Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach:
Approximating the Core via Iterative Coalition Sampling. CoRR abs/2402.03928 (2024)
2023
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  - journals/corr/abs-2302-00797
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Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman:
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR abs/2302.00797 (2023)
[i16]
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  - journals/corr/abs-2303-03196
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Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat:
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. CoRR abs/2303.03196 (2023)
[i15]
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  - journals/corr/abs-2310-10553
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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:
TacticAI: an AI assistant for football tactics. CoRR abs/2310.10553 (2023)
2022
[i14]
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  - journals/corr/abs-2202-07415
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Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel:
NeuPL: Neural Population Learning. CoRR abs/2202.07415 (2022)
[i13]
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  - journals/corr/abs-2206-15378
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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:
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR abs/2206.15378 (2022)
[i12]
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  - journals/corr/abs-2209-10958
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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:
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022)
2021
[i11]
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  - journals/corr/abs-2105-12196
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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:
From Motor Control to Team Play in Simulated Humanoid Football. CoRR abs/2105.12196 (2021)
[i10]
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  - journals/corr/abs-2106-04219
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Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls:
Time-series Imputation of Temporally-occluded Multiagent Trajectories. CoRR abs/2106.04219 (2021)
[i9]
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  - journals/corr/abs-2106-14668
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Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls:
Evolutionary Dynamics and Φ-Regret Minimization in Games. CoRR abs/2106.14668 (2021)
[i8]
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  - journals/corr/abs-2111-05458
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Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins:
Which priors matter? Benchmarking models for learning latent dynamics. CoRR abs/2111.05458 (2021)
2020
[i7]
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  - journals/corr/abs-2005-01642
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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:
Navigating the Landscape of Games. CoRR abs/2005.01642 (2020)
[i6]
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  - journals/corr/abs-2011-09192
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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:
Game Plan: What AI can do for Football, and What Football can do for AI. CoRR abs/2011.09192 (2020)
2019
[i5]
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  - journals/corr/abs-1906-00190
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Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls:
Neural Replicator Dynamics. CoRR abs/1906.00190 (2019)
[i4]
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  - journals/corr/abs-1908-09453
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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:
OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR abs/1908.09453 (2019)
[i3]
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  - journals/corr/abs-1909-12823
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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:
A Generalized Training Approach for Multiagent Learning. CoRR abs/1909.12823 (2019)
2016
[i2]
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  - journals/corr/IzzoHMGNHCYOS16
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Dario Izzo, Daniel Hennes, Marcus Märtens, Ingmar Getzner, Krzysztof Nowak, Anna Heffernan, Stefano Campagnola, Chit Hong Yam, Naoya Ozaki, Yoshihide Sugimoto:
GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS. CoRR abs/1602.00849 (2016)
[i1]
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  - journals/corr/HeckeCMHI16
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Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo:
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance. CoRR abs/1603.08047 (2016)

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