Daniel Hennes

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 39

Top Topics

Replicator Dynamics

Nash Equilibria

Reinforcement Learning

Top Venues

J. Artif. Intell. Res.

Publications

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)
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 (2024)
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Pérolat
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Ian M. 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) (2022)
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 (2022)
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
NeuPL: Neural Population Learning. CoRR (2022)
Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel, Nicolas Heess, Thore Graepel
NeuPL: Neural Population Learning. ICLR (2022)
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 (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar 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 (2022)
Georgios Piliouras, Mark Rowland, Shayegan Omidshafiei, Romuald Elie, Daniel Hennes, Jerome T. Connor, Karl Tuyls
Evolutionary Dynamics and Φ-Regret Minimization in Games. CoRR (2021)
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
Which priors matter? Benchmarking models for learning latent dynamics. NeurIPS Datasets and Benchmarks (2021)
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 (2021)
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 (2021)
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 (2021)
Aleksandar Botev, Andrew Jaegle, Peter Wirnsberger, Daniel Hennes, Irina Higgins
Which priors matter? Benchmarking models for learning latent dynamics. CoRR (2021)
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)
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)
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)
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 (2020)
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 (2020)
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 (2019)
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) (2019)
Danny Drieß, Daniel Hennes, Marc Toussaint
Active Multi-Contact Continuous Tactile Exploration with Gaussian Process Differential Entropy. ICRA (2019)
Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls
Neural Replicator Dynamics. CoRR (2019)
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 (2019)
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)
Joscha-David Fossel, Karl Tuyls, Benjamin Schnieders, Daniel Claes, Daniel Hennes
NOctoSLAM: Fast octree surface normal mapping and registration. IROS (2017)
Javier Hidalgo-Carrióo, Daniel Hennes, Jakob Schwendner, Frank Kirchner
Gaussian process estimation of odometry errors for localization and mapping. ICRA (2017)
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 (2016)
Daniel Hennes, Dario Izzo, Damon Landau
Fast approximators for optimal low-thrust hops between main belt asteroids. SSCI (2016)
Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
Space Debris Removal: A Game Theoretic Analysis. Games 7 (3) (2016)
Carlos Sánchez-Sánchez, Dario Izzo, Daniel Hennes
Learning the optimal state-feedback using deep networks. SSCI (2016)
Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo
Space Debris Removal: A Game Theoretic Analysis. ECAI (2016)
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 (2016)
Daniel Hennes, Steven de Jong, Karl Tuyls, Ya'akov (Kobi) Gal
Metastrategies in Large-Scale Bargaining Settings. ACM Trans. Intell. Syst. Technol. 7 (1) (2015)
Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser
Novelty Search for Soft Robotic Space Exploration. GECCO (2015)
Sam Devlin, Daniel Hennes, Samuel Barrett
Preface to the special issue: Adaptive Learning Agents Part 3. Connect. Sci. 27 (3) (2015)
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)
Dario Izzo, Ingmar Getzner, Daniel Hennes, Luís Felismino Simões
Evolving Solutions to TSP Variants for Active Space Debris Removal. GECCO (2015)
Krzysztof Nowak, Dario Izzo, Daniel Hennes
Injection, Saturation and Feedback in Meta-Heuristic Interactions. GECCO (2015)
Daniel Hennes, Dario Izzo
Interplanetary Trajectory Planning with Monte Carlo Tree Search. IJCAI (2015)
Daan Bloembergen, Daniel Hennes, Simon Parsons, Karl Tuyls
Survival of the Chartist: An Evolutionary Agent-Based Analysis of Stock Market Trading. AAMAS (2015)
Daan Bloembergen, Karl Tuyls, Daniel Hennes, Michael Kaisers
Evolutionary Dynamics of Multi-Agent Learning: A Survey. J. Artif. Intell. Res. 53 (2015)
Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth I. Sklar, Daniel Hennes
Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments. TAROS (2015)
Bastian Broecker, Ipek Caliskanelli, Karl Tuyls, Elizabeth Sklar, Daniel Hennes
Social Insect-Inspired Multi-Robot Coverage. AAMAS (2015)
Daan Bloembergen, Daniel Hennes, Peter McBurney, Karl Tuyls
Trading in markets with noisy information: an evolutionary analysis. Connect. Sci. 27 (3) (2015)
Sam Devlin, Daniel Hennes, Enda Howley
Preface to the special issue: Adaptive Learning Agents Part 2. Connect. Sci. 26 (2) (2014)
Sjriek Alers, Daniel Claes, Joscha-David Fossel, Daniel Hennes, Karl Tuyls
Applied robotics: precision placement in RoboCup@Work. AAMAS (2014)
Sam Devlin, Daniel Hennes, Enda Howley
Preface to the special issue: Adaptive Learning Agents, Part 1. Connect. Sci. 26 (1) (2014)
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)
Daniel Claes, Joscha-David Fossel, Bastian Broecker, Daniel Hennes, Karl Tuyls
Development of an Autonomous RC-car. ICIRA (2) (2013)
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)
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)
Daniel Claes, Daniel Hennes, Karl Tuyls, Wim Meeussen
Collision avoidance under bounded localization uncertainty. IROS (2012)
Sjriek Alers, Daan Bloembergen, Max Bügler, Daniel Hennes, Karl Tuyls
MITRO: an augmented mobile telepresence robot with assisted control (demonstration). AAMAS (2012)
Daniel Claes, Daniel Hennes, Wim Meeussen, Karl Tuyls
CALU: collision avoidance with localization uncertainty (demonstration). AAMAS (2012)
Daniel Hennes, Daniel Claes, Wim Meeussen, Karl Tuyls
Multi-robot collision avoidance with localization uncertainty. AAMAS (2012)
Daniel Hennes, Daan Bloembergen, Michael Kaisers, Karl Tuyls, Simon Parsons
Evolutionary advantage of foresight in markets. GECCO (2012)
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)
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)
Steven de Jong, Daniel Hennes, Karl Tuyls, Ya'akov (Kobi) Gal
Metastrategies in the Colored Trails game. AAMAS (2011)
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
State-coupled replicator dynamics. AAMAS (2) (2009)
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
Formalizing Multi-state Learning Dynamics. IAT (2008)
H. Jaap van den Herik, Daniel Hennes, Michael Kaisers, Karl Tuyls, Katja Verbeeck
Multi-agent Learning Dynamics: A Survey. CIA (2007)