Harm van Seijen

Improving Scalability of Reinforcement Learning by Separation of Concerns.

2016 · arXiv (Cornell University)

In this paper, we propose a framework for solving a single-agent task by using multiple agents, each focusing on different aspects of the task. This approach has two main advantages: 1) it allows for training …