This paper presents a novel approach to Multi-Agent Reinforcement Learni...
Reinforcement Learning (RL) algorithms are known to scale poorly to
envi...
We study a game between liquidity provider and liquidity taker agents
in...
Agent based modelling (ABM) is a computational approach to modelling com...
In this paper, we evaluate the use of Reinforcement Learning (RL) to sol...
Surfing on the internet boom, the digital marketing industry has seen an...
We present a new financial framework where two families of RL-based agen...