Romain Laroche

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 …

Counting to Explore and Generalize in Text-based Games

2018 · arXiv (Cornell University)

We propose a recurrent RL agent with an episodic exploration mechanism that helps discovering good policies in text-based game environments. We show promising results on a set of generated text-based games of varying difficulty where …