Paul Muller

33 papers A* 4A 4C 2Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
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
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 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
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
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
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
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.
ICML
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist
2022 J jnl
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.
CoRR
Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist
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
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
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
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
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
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
2009 — conf
A fully integrated 2×2 MIMO dual-band dual- mode direct-conversion CMOS transceiver for WiMAX/WLAN applications.
ISSCC
Li Lin, Naratip Wongkomet, David Yu, Chi-Hung Lin, Ming He, Brian Nissim, Steven Lyuee, Paul Yu, Todd Sepke, Shervin Shekarchian, Luns Tee, Paul Muller, Jonathan Tam, Thomas Cho
2007 J jnl
A Power-Efficient Clock and Data Recovery Circuit in 0.18 µm CMOS Technology for Multi-Channel Short-Haul Optical Data Communication.
IEEE J. Solid State Circuits
Armin Tajalli, Paul Muller, Yusuf Leblebici
2007 J jnl
Top-Down Design of a Low-Power Multi-Channel 2.5-Gbit/s/Channel Gated Oscillator Clock-Recovery Circuit
CoRR
Paul Muller, Armin Tajalli, Seyed Mojtaba Atarodi, Yusuf Leblebici
2007 J jnl
Tradeoffs in Design of Low-Power Gated-Oscillator Clock and Data Recovery Circuits.
J. Low Power Electron.
Armin Tajalli, Paul Muller, Yusuf Leblebici
2006 C conf
Analysis and modeling of jitter and frequency tolerance in gated oscillator based CDRs.
ISCAS
Armin Tajalli, Paul Muller, Seyed Mojtaba Atarodi, Yusuf Leblebici
2005 A conf
A low-power, multichannel gated oscillator-based CDR for short-haul applications.
ISLPED
Armin Tajalli, Paul Muller, Seyed Mojtaba Atarodi, Yusuf Leblebici
2005 — conf
A multichannel 3.5mW/Gbps/channel gated oscillator based CDR in a 0.18μm digital CMOS technology.
ESSCIRC
Armin Tajalli, Paul Muller, Mojtaba Atarodi, Yusuf Leblebici
2005 C conf
Jitter Tolerance Analysis of Clock and Data Recovery Circuits.
FDL
Paul Muller, Yusuf Leblebici
2005 — conf
Limiting amplifiers for next-generation multi-channel optical I/0 interfaces in SoCs.
SoCC
Paul Muller, Yusuf Leblebici
2005 A conf
Top-Down Design of a Low-Power Multi-Channel 2.5-Gbit/s/Channel Gated Oscillator Clock-Recovery Circuit.
DATE
Paul Muller, Armin Tajalli, Seyed Mojtaba Atarodi, Yusuf Leblebici
2004 — conf
A 4-channel 2.5Gb/s/channel 66dBΩ inductorless transimpedance amplifier [optical receiver applications].
ESSCIRC
Paul Muller, Yusuf Leblebici, Matthew K. Emsley, M. Selim Ünlü