no code implementations • 8 Mar 2021 • Kevin R. McKee, Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio Garcia Castaneda, Charlie Beattie, Thore Graepel, Matt Botvinick, Joel Z. Leibo
Collective action demands that individuals efficiently coordinate how much, where, and when to cooperate.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 16 Feb 2021 • Kevin R. McKee, Joel Z. Leibo, Charlie Beattie, Richard Everett
Generalization is a major challenge for multi-agent reinforcement learning.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • ICLR 2019 • Avraham Ruderman, Richard Everett, Bristy Sikder, Hubert Soyer, Jonathan Uesato, Ananya Kumar, Charlie Beattie, Pushmeet Kohli
Reinforcement learning agents are typically trained and evaluated according to their performance averaged over some distribution of environment settings.