Daniel Hennes

75 papers A* 9A 21C 1Journal 35Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models.
CoRR
Daniel Hennes, Zun Li, John Schultz, Marc Lanctot
2026 J jnl
Discovering Multiagent Learning Algorithms with Large Language Models.
CoRR
Zun Li, John Schultz, Daniel Hennes, Marc Lanctot
2025 J jnl
Code World Models for General Game Playing.
CoRR
Wolfgang Lehrach, Daniel Hennes, Miguel Lázaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Jordi Grau-Moya, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin P. Murphy
2025 A* conf
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling.
IJCAI
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025 A* conf
Mastering Board Games by External and Internal Planning with Language Models.
ICML
John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2024 A conf
Approximating the Core via Iterative Coalition Sampling.
AAMAS
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Approximating the Core via Iterative Coalition Sampling.
CoRR
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Mastering Board Games by External and Internal Planning with Language Models.
CoRR
John Schultz, Jakub Adámek, Matej Jusup, Marc Lanctot, Michael Kaisers, Sarah Perrin, Daniel Hennes, Jeremy Shar, Cannada A. Lewis, Anian Ruoss, Tom Zahavy, Petar Velickovic, Laurel Prince, Satinder Singh, Eric Malmi, Nenad Tomasev
2023 J jnl
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.
CoRR
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023 J jnl
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning.
CoRR
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat
2023 J jnl
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning.
Trans. Mach. Learn. Res.
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Pérolat
2023 A conf
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.
AAMAS
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
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
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
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
NeuPL: Neural Population Learning.
ICLR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
2022 J jnl
NeuPL: Neural Population Learning.
CoRR
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
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 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
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
2021 — conf
Which priors matter? Benchmarking models for learning latent dynamics.
NeurIPS Datasets and Benchmarks
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
2021 J jnl
Which priors matter? Benchmarking models for learning latent dynamics.
CoRR
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
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 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
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
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 A* conf
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy.
ICRA
Danny Drieß, Daniel Hennes, Marc Toussaint
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 J jnl
Planning Approximate Exploration Trajectories for Model-Free Reinforcement Learning in Contact-Rich Manipulation.
IEEE Robotics Autom. Lett.
Sabrina Hoppe, Zhongyu Lou, Daniel Hennes, Marc Toussaint
2018 A* conf
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
ICRA
Danny Drieß, Heiko Zimmermann, Simon Wolfen, Dan Suissa, Daniel F. B. Haeufle, Daniel Hennes, Marc Toussaint, Syn Schmitt
2017 A* conf
Gaussian process estimation of odometry errors for localization and mapping.
ICRA
Javier Hidalgo-Carrióo, Daniel Hennes, Jakob Schwendner, Frank Kirchner
2017 A conf
NOctoSLAM: Fast octree surface normal mapping and registration.
IROS
Joscha-David Fossel, Karl Tuyls, Benjamin Schnieders, Daniel Claes, Daniel Hennes
2016 — conf
Fast approximators for optimal low-thrust hops between main belt asteroids.
SSCI
Daniel Hennes, Dario Izzo, Damon Landau
2016 J jnl
GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS.
CoRR
Dario Izzo, Daniel Hennes, Marcus Märtens, Ingmar Getzner, Krzysztof Nowak, Anna Heffernan, Stefano Campagnola, Chit Hong Yam, Naoya Ozaki, Yoshihide Sugimoto
2016 — conf
Learning the optimal state-feedback using deep networks.
SSCI
Carlos Sánchez-Sánchez, Dario Izzo, Daniel Hennes
2016 J jnl
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance.
CoRR
Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo
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
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 A conf
Evolving Solutions to TSP Variants for Active Space Debris Removal.
GECCO
Dario Izzo, Ingmar Getzner, Daniel Hennes, Luís Felismino Simões
2015 — conf
Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments.
TAROS
Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth I. Sklar, Daniel Hennes
2015 A conf
Injection, Saturation and Feedback in Meta-Heuristic Interactions.
GECCO
Krzysztof Nowak, Dario Izzo, Daniel Hennes
2015 A* conf
Interplanetary Trajectory Planning with Monte Carlo Tree Search.
IJCAI
Daniel Hennes, Dario Izzo
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
Novelty Search for Soft Robotic Space Exploration.
GECCO
Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser
2015 J jnl
Preface to the special issue: Adaptive Learning Agents Part 3.
Connect. Sci.
Sam Devlin, Daniel Hennes, Samuel Barrett
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 J jnl
Trading in markets with noisy information: an evolutionary analysis.
Connect. Sci.
Daan Bloembergen, Daniel Hennes, Peter McBurney, Karl Tuyls
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
Preface to the special issue: Adaptive Learning Agents Part 2.
Connect. Sci.
Sam Devlin, Daniel Hennes, Enda Howley
2014 J jnl
Preface to the special issue: Adaptive Learning Agents, Part 1.
Connect. Sci.
Sam Devlin, Daniel Hennes, Enda Howley
2013 — conf
Development of an Autonomous RC-car.
ICIRA (2)
Daniel Claes, Joscha-David Fossel, Bastian Broecker, Daniel Hennes, Karl Tuyls
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 — 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
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 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 A conf
Multi-robot collision avoidance with localization uncertainty.
AAMAS
Daniel Hennes, Daniel Claes, Wim Meeussen, Karl Tuyls
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
Hierarchies of octrees for efficient 3D mapping.
IROS
Kai M. Wurm, Daniel Hennes, Dirk Holz, Radu Bogdan Rusu, Cyrill Stachniss, Kurt Konolige, Wolfram Burgard
2011 A conf
Metastrategies in the Colored Trails game.
AAMAS
Steven de Jong, Daniel Hennes, Karl Tuyls, Ya'akov (Kobi) Gal
2009 — conf
State-coupled replicator dynamics.
AAMAS (2)
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
2008 — conf
Formalizing Multi-state Learning Dynamics.
IAT
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
2007 — conf
Multi-agent Learning Dynamics: A Survey.
CIA
H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck