Charlie Beattie

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Population Diversity

Reinforcement Learning

Artificial Agents

Search Efficiency

Top Venues

Auton. Agents Multi Agent Syst.

Publications

Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying the effects of environment and population diversity in multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Quantifying environment and population diversity in multi-agent reinforcement learning. CoRR (2021)
Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio García Castañeda, Charlie Beattie, Thore Graepel, Matthew Botvinick, Joel Z. Leibo
Deep reinforcement learning models the emergent dynamics of human cooperation. CoRR (2021)
Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR (2021)
Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. ICML (2021)
Andrea Banino, Caswell Barry, Benigno Uria, Charles Blundell, Timothy P. Lillicrap, Piotr Mirowski, Alexander Pritzel, Martin J. Chadwick, Thomas Degris, Joseph Modayil, Greg Wayne, Hubert Soyer, Fabio Viola, Brian Zhang, Ross Goroshin, Neil C. Rabinowitz, Razvan Pascanu, Charlie Beattie, Stig Petersen, Amir Sadik, Stephen Gaffney, Helen King, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Dharshan Kumaran
Vector-based navigation using grid-like representations in artificial agents. Nat. 557 (7705) (2018)