Ian M. Gemp

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 20

Top Topics

Nash Equilibrium

Replicator Dynamics

Top Venues

Publications

Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS (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)
Ian M. Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. AAMAS (2022)
Elise van der Pol, Ian M. Gemp, Yoram Bachrach, Richard Everett
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. CoRR (2022)
Ian M. Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
EigenGame Unloaded: When playing games is better than optimizing. ICLR (2022)
Ian M. Gemp, Charlie Chen, Brian McWilliams
The Generalized Eigenvalue Problem as a Nash Equilibrium. 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)
Yoram Bachrach, Ian M. Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI (2021)
Ian M. Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
EigenGame Unloaded: When playing games is better than optimizing. CoRR (2021)
Ian M. Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
EigenGame: PCA as a Nash Equilibrium. ICLR (2021)
Roma Patel, Marta Garnelo, Ian M. Gemp, Chris Dyer, Yoram Bachrach
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT (2021)
Ian M. Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. CoRR (2021)
Ian M. Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
EigenGame: PCA as a Nash Equilibrium. CoRR (2020)
Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR (2020)
David Balduzzi, Wojciech M. Czarnecki, Tom Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel
Smooth markets: A basic mechanism for organizing gradient-based learners. ICLR (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. AAMAS (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. NeurIPS (2020)
David Balduzzi, Wojciech M. Czarnecki, Thomas W. Anthony, Ian M. Gemp, Edward Hughes, Joel Z. Leibo, Georgios Piliouras, Thore Graepel
Smooth markets: A basic mechanism for organizing gradient-based learners. CoRR (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. CoRR (2020)
Kevin R. McKee, Ian M. Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning. CoRR (2020)
Ian M. Gemp, Richard W. Carthew, Sascha Hilgenfeldt
Cadherin-Dependent Cell Morphology in an Epithelium: Constructing a Quantitative Dynamical Model. PLoS Comput. Biol. 7 (7) (2011)