Multiagent reinforcement learning (MARL) has benefited significantly fro...
The Game Theory Multi-Agent team at DeepMind studies several aspects...
The designs of many large-scale systems today, from traffic routing
envi...
We introduce DeepNash, an autonomous agent capable of learning to play t...
Recent advances in multiagent learning have seen the introduction ofa fa...
Two-player, constant-sum games are well studied in the literature, but t...
In multiagent environments, several decision-making individuals interact...
Intelligent behaviour in the physical world exhibits structure at multip...
The rapid progress in artificial intelligence (AI) and machine learning ...
Multiplayer games have a long history in being used as key testbeds for
...
BrainScaleS-1 is a wafer-scale mixed-signal accelerated neuromorphic sys...
This paper investigates a population-based training regime based on
game...
OpenSpiel is a collection of environments and algorithms for research in...
The traditional von Neumann computer architecture faces serious obstacle...
This paper presents an extension of the BrainScaleS accelerated analog
n...
Despite being originally inspired by the central nervous system, artific...
Advancing the size and complexity of neural network models leads to an e...