Transfer Learning for Multiagent Reinforcement Learning Systems

Learning to solve sequential decision—making tasks is difficult. Humans take years exploring the environment essentially in a random way until they are able to reason, solve difficult tasks, and collaborate with other humans towards a common goal. Artificial Intelligent agents are like humans in this aspect. Reinforcement Learning (RL) is a well—known technique to train autonomous agents through interactions with the environment. Unfortunately, the learning process has a high sample complex...