2018

Graph Convolutional Reinforcement Learning

Jiang, Jiechuan, Dun, Chen, Huang, Tiejun et al.

Understand

Learning to cooperate is crucially important in multi-agent environments.

  • The key is to understand the mutual interplay between agents.
  • However, multi-agent environments are highly dynamic, where agents keep moving and their neighbors change quickly.
  • This makes it hard to learn abstract representations of mutual interplay between agents.

Reading the bibliography…