Abstract: This paper introduces two new algorithms aimed at solving multi-agent multi-objective reinforcement learning problems in which the learning agent must not only interact with multiples agents ...

Abstract: Learning word representations from large corpora relies on the distributional hypothesis that words present in similar contexts tend to have similar meanings. Recent work has shown that word ...