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Paul Muller
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- affiliation: Marvell Semiconductor, Santa Clara
- affiliation: EPFL, Microelectronic Systems Laboratory
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2020 – today
- 2023
- [c13]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 - [i14]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) - 2022
- [j5]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022) - [j4]Siqi Liu
From motor control to team play in simulated humanoid football. Sci. Robotics 7(69) (2022) - [c12]Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls:
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. AAMAS 2022: 926-934 - [c11]Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Elie, Olivier Pietquin, Matthieu Geist:
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. ICML 2022: 12078-12095 - [d2]Siqi Liu
Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football". Zenodo, 2022 - [d1]Julien Pérolat
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". Zenodo, 2022 - [i13]Mathieu Laurière, Sarah Perrin, Sertan Girgin, Paul Muller, Ayush Jain, Theophile Cabannes, Georgios Piliouras, Julien Pérolat, Romuald Élie, Olivier Pietquin, Matthieu Geist:
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games. CoRR abs/2203.11973 (2022) - [i12]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) - [i11]Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls:
Learning Correlated Equilibria in Mean-Field Games. CoRR abs/2208.10138 (2022) - [i10]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
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022) - 2021
- [j3]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) - [c10]Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel:
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. ICML 2021: 7480-7491 - [i9]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) - [i8]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) - [i7]Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel:
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers. CoRR abs/2106.09435 (2021) - [i6]Paul Muller, Mark Rowland, Romuald Elie, Georgios Piliouras, Julien Pérolat, Mathieu Laurière, Raphaël Marinier, Olivier Pietquin, Karl Tuyls:
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO. CoRR abs/2111.08350 (2021) - 2020
- [c9]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 - [i5]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) - [i4]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)
2010 – 2019
- 2019
- [i3]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
OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR abs/1908.09453 (2019) - [i2]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)
2000 – 2009
- 2009
- [c8]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:
A fully integrated 2×2 MIMO dual-band dual- mode direct-conversion CMOS transceiver for WiMAX/WLAN applications. ISSCC 2009: 416-417 - 2007
- [j2]Armin Tajalli
Tradeoffs in Design of Low-Power Gated-Oscillator Clock and Data Recovery Circuits. J. Low Power Electron. 3(3): 345-354 (2007) - [j1]Armin Tajalli, Paul Muller, Yusuf Leblebici:
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 42(10): 2235-2244 (2007) - [i1]Paul Muller, Armin Tajalli, Seyed Mojtaba Atarodi, Yusuf Leblebici:
Top-Down Design of a Low-Power Multi-Channel 2.5-Gbit/s/Channel Gated Oscillator Clock-Recovery Circuit. CoRR abs/0710.4727 (2007) - 2006
- [c7]Armin Tajalli, Paul Muller, Seyed Mojtaba Atarodi
Analysis and modeling of jitter and frequency tolerance in gated oscillator based CDRs. ISCAS 2006 - 2005
- [c6]Paul Muller, Armin Tajalli, Seyed Mojtaba Atarodi
Top-Down Design of a Low-Power Multi-Channel 2.5-Gbit/s/Channel Gated Oscillator Clock-Recovery Circuit. DATE 2005: 258-263 - [c5]Armin Tajalli, Paul Muller, Mojtaba Atarodi, Yusuf Leblebici:
A multichannel 3.5mW/Gbps/channel gated oscillator based CDR in a 0.18μm digital CMOS technology. ESSCIRC 2005: 193-196 - [c4]Paul Muller, Yusuf Leblebici:
Jitter Tolerance Analysis of Clock and Data Recovery Circuits. FDL 2005: 143-147 - [c3]Armin Tajalli, Paul Muller, Seyed Mojtaba Atarodi
A low-power, multichannel gated oscillator-based CDR for short-haul applications. ISLPED 2005: 107-110 - [c2]Paul Muller, Yusuf Leblebici:
Limiting amplifiers for next-generation multi-channel optical I/0 interfaces in SoCs. SoCC 2005: 193-196 - 2004
- [c1]Paul Muller, Yusuf Leblebici, Matthew K. Emsley, M. Selim Ünlü:
A 4-channel 2.5Gb/s/channel 66dBΩ inductorless transimpedance amplifier [optical receiver applications]. ESSCIRC 2004: 491-494
Coauthor Index
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